CINXE.COM
deep-reinforcement-learning · GitHub Topics · GitHub
<!DOCTYPE html> <html lang="en" data-color-mode="auto" data-light-theme="light" data-dark-theme="dark" data-a11y-animated-images="system" data-a11y-link-underlines="true" > <head> <meta charset="utf-8"> <link rel="dns-prefetch" href="https://github.githubassets.com"> <link rel="dns-prefetch" href="https://avatars.githubusercontent.com"> <link rel="dns-prefetch" href="https://github-cloud.s3.amazonaws.com"> <link rel="dns-prefetch" href="https://user-images.githubusercontent.com/"> <link rel="preconnect" href="https://github.githubassets.com" crossorigin> <link rel="preconnect" href="https://avatars.githubusercontent.com"> <link crossorigin="anonymous" media="all" rel="stylesheet" href="https://github.githubassets.com/assets/light-74231a1f3bbb.css" /><link crossorigin="anonymous" media="all" rel="stylesheet" href="https://github.githubassets.com/assets/dark-8a995f0bacd4.css" /><link data-color-theme="dark_dimmed" crossorigin="anonymous" media="all" rel="stylesheet" data-href="https://github.githubassets.com/assets/dark_dimmed-f37fb7684b1f.css" /><link data-color-theme="dark_high_contrast" crossorigin="anonymous" media="all" rel="stylesheet" data-href="https://github.githubassets.com/assets/dark_high_contrast-9ac301c3ebe5.css" /><link data-color-theme="dark_colorblind" crossorigin="anonymous" media="all" rel="stylesheet" data-href="https://github.githubassets.com/assets/dark_colorblind-cd826e8636dc.css" /><link data-color-theme="light_colorblind" crossorigin="anonymous" media="all" rel="stylesheet" data-href="https://github.githubassets.com/assets/light_colorblind-f91b0f603451.css" /><link data-color-theme="light_high_contrast" crossorigin="anonymous" media="all" rel="stylesheet" data-href="https://github.githubassets.com/assets/light_high_contrast-83beb16e0ecf.css" /><link data-color-theme="light_tritanopia" crossorigin="anonymous" media="all" rel="stylesheet" data-href="https://github.githubassets.com/assets/light_tritanopia-6e122dab64fc.css" /><link data-color-theme="dark_tritanopia" crossorigin="anonymous" media="all" rel="stylesheet" data-href="https://github.githubassets.com/assets/dark_tritanopia-18119e682df0.css" /> <link crossorigin="anonymous" media="all" rel="stylesheet" href="https://github.githubassets.com/assets/primer-primitives-225433424a87.css" /> <link crossorigin="anonymous" media="all" rel="stylesheet" href="https://github.githubassets.com/assets/primer-aaa714e5674d.css" /> <link crossorigin="anonymous" media="all" rel="stylesheet" href="https://github.githubassets.com/assets/global-0a3c53b9d1c2.css" /> <link crossorigin="anonymous" media="all" rel="stylesheet" href="https://github.githubassets.com/assets/github-ea73c9cb5377.css" /> <link crossorigin="anonymous" media="all" rel="stylesheet" href="https://github.githubassets.com/assets/site-3e72ff5534e0.css" /> <link crossorigin="anonymous" media="all" rel="stylesheet" href="https://github.githubassets.com/assets/explore-742a7653565b.css" /> <link crossorigin="anonymous" media="all" rel="stylesheet" href="https://github.githubassets.com/assets/dashboard-0de2bd46c6d8.css" /> <link crossorigin="anonymous" media="all" rel="stylesheet" href="https://github.githubassets.com/assets/discussions-dae9ae1a46a6.css" /> <script type="application/json" id="client-env">{"locale":"en","featureFlags":["copilot_immersive_issue_preview","copilot_new_references_ui","copilot_chat_repo_custom_instructions_preview","copilot_no_floating_button","copilot_topics_as_references","copilot_read_shared_conversation","copilot_duplicate_thread","copilot_buffered_streaming","dotcom_chat_client_side_skills","experimentation_azure_variant_endpoint","failbot_handle_non_errors","geojson_azure_maps","ghost_pilot_confidence_truncation_25","ghost_pilot_confidence_truncation_40","github_models_gateway_parse_params","github_models_o3_mini_streaming","insert_before_patch","issues_react_remove_placeholders","issues_react_blur_item_picker_on_close","marketing_pages_search_explore_provider","primer_react_css_modules_ga","react_data_router_pull_requests","react_override_default_key","remove_child_patch","sample_network_conn_type","swp_enterprise_contact_form","site_proxima_australia_update","viewscreen_sandbox","issues_react_create_milestone","issues_react_cache_fix_workaround","lifecycle_label_name_updates","copilot_task_oriented_assistive_prompts","issue_types_prevent_private_type_creation","refresh_image_video_src","react_router_dispose_on_disconnect","codespaces_prebuild_region_target_update","turbo_app_id_restore","copilot_code_review_sign_up_closed"]}</script> <script crossorigin="anonymous" defer="defer" type="application/javascript" src="https://github.githubassets.com/assets/wp-runtime-42bf55717c0c.js"></script> <script crossorigin="anonymous" defer="defer" type="application/javascript" src="https://github.githubassets.com/assets/vendors-node_modules_oddbird_popover-polyfill_dist_popover_js-9da652f58479.js"></script> <script crossorigin="anonymous" defer="defer" type="application/javascript" src="https://github.githubassets.com/assets/vendors-node_modules_github_arianotify-polyfill_ariaNotify-polyfill_js-node_modules_github_mi-3abb8f-46b9f4874d95.js"></script> <script crossorigin="anonymous" defer="defer" type="application/javascript" src="https://github.githubassets.com/assets/ui_packages_failbot_failbot_ts-75968cfb5298.js"></script> <script crossorigin="anonymous" defer="defer" type="application/javascript" src="https://github.githubassets.com/assets/environment-f04cb2a9fc8c.js"></script> <script crossorigin="anonymous" defer="defer" type="application/javascript" src="https://github.githubassets.com/assets/vendors-node_modules_primer_behaviors_dist_esm_index_mjs-0dbb79f97f8f.js"></script> <script crossorigin="anonymous" defer="defer" type="application/javascript" src="https://github.githubassets.com/assets/vendors-node_modules_github_selector-observer_dist_index_esm_js-f690fd9ae3d5.js"></script> <script crossorigin="anonymous" defer="defer" type="application/javascript" src="https://github.githubassets.com/assets/vendors-node_modules_github_relative-time-element_dist_index_js-62d275b7ddd9.js"></script> <script crossorigin="anonymous" defer="defer" type="application/javascript" src="https://github.githubassets.com/assets/vendors-node_modules_github_text-expander-element_dist_index_js-78748950cb0c.js"></script> <script crossorigin="anonymous" defer="defer" type="application/javascript" src="https://github.githubassets.com/assets/vendors-node_modules_github_auto-complete-element_dist_index_js-node_modules_github_catalyst_-8e9f78-a90ac05d2469.js"></script> <script crossorigin="anonymous" defer="defer" type="application/javascript" src="https://github.githubassets.com/assets/vendors-node_modules_github_filter-input-element_dist_index_js-node_modules_github_remote-inp-b5f1d7-a1760ffda83d.js"></script> <script crossorigin="anonymous" defer="defer" type="application/javascript" src="https://github.githubassets.com/assets/vendors-node_modules_github_markdown-toolbar-element_dist_index_js-ceef33f593fa.js"></script> <script crossorigin="anonymous" defer="defer" type="application/javascript" src="https://github.githubassets.com/assets/vendors-node_modules_github_file-attachment-element_dist_index_js-node_modules_primer_view-co-c44a69-efa32db3a345.js"></script> <script crossorigin="anonymous" defer="defer" type="application/javascript" src="https://github.githubassets.com/assets/github-elements-394f8eb34f19.js"></script> <script crossorigin="anonymous" defer="defer" type="application/javascript" src="https://github.githubassets.com/assets/element-registry-25113a65b77f.js"></script> <script crossorigin="anonymous" defer="defer" type="application/javascript" src="https://github.githubassets.com/assets/vendors-node_modules_braintree_browser-detection_dist_browser-detection_js-node_modules_githu-2906d7-2a07a295af40.js"></script> <script crossorigin="anonymous" defer="defer" type="application/javascript" src="https://github.githubassets.com/assets/vendors-node_modules_lit-html_lit-html_js-be8cb88f481b.js"></script> <script crossorigin="anonymous" defer="defer" type="application/javascript" src="https://github.githubassets.com/assets/vendors-node_modules_github_mini-throttle_dist_index_js-node_modules_morphdom_dist_morphdom-e-7c534c-a4a1922eb55f.js"></script> <script crossorigin="anonymous" defer="defer" type="application/javascript" src="https://github.githubassets.com/assets/vendors-node_modules_github_turbo_dist_turbo_es2017-esm_js-a03ee12d659a.js"></script> <script crossorigin="anonymous" defer="defer" type="application/javascript" src="https://github.githubassets.com/assets/vendors-node_modules_github_remote-form_dist_index_js-node_modules_delegated-events_dist_inde-893f9f-b6294cf703b7.js"></script> <script crossorigin="anonymous" defer="defer" type="application/javascript" src="https://github.githubassets.com/assets/vendors-node_modules_color-convert_index_js-e3180fe3bcb3.js"></script> <script crossorigin="anonymous" defer="defer" type="application/javascript" src="https://github.githubassets.com/assets/vendors-node_modules_github_quote-selection_dist_index_js-node_modules_github_session-resume_-947061-e7a6c4a19f98.js"></script> <script crossorigin="anonymous" defer="defer" type="application/javascript" src="https://github.githubassets.com/assets/ui_packages_updatable-content_updatable-content_ts-eb3147a21e96.js"></script> <script crossorigin="anonymous" defer="defer" type="application/javascript" src="https://github.githubassets.com/assets/app_assets_modules_github_behaviors_task-list_ts-app_assets_modules_github_sso_ts-ui_packages-900dde-768abe60b1f8.js"></script> <script crossorigin="anonymous" defer="defer" type="application/javascript" src="https://github.githubassets.com/assets/app_assets_modules_github_sticky-scroll-into-view_ts-3e000c5d31a9.js"></script> <script crossorigin="anonymous" defer="defer" type="application/javascript" src="https://github.githubassets.com/assets/app_assets_modules_github_behaviors_ajax-error_ts-app_assets_modules_github_behaviors_include-87a4ae-4c160a67a3f8.js"></script> <script crossorigin="anonymous" defer="defer" type="application/javascript" src="https://github.githubassets.com/assets/app_assets_modules_github_behaviors_commenting_edit_ts-app_assets_modules_github_behaviors_ht-83c235-e429cff6ceb1.js"></script> <script crossorigin="anonymous" defer="defer" type="application/javascript" src="https://github.githubassets.com/assets/behaviors-124f4ce2c2c0.js"></script> <script crossorigin="anonymous" defer="defer" type="application/javascript" src="https://github.githubassets.com/assets/vendors-node_modules_delegated-events_dist_index_js-node_modules_github_catalyst_lib_index_js-f6223d90c7ba.js"></script> <script crossorigin="anonymous" defer="defer" type="application/javascript" src="https://github.githubassets.com/assets/notifications-global-01e85cd1be94.js"></script> <title>deep-reinforcement-learning · GitHub Topics · GitHub</title> <meta name="route-pattern" content="/topics/:topic_name(.:format)" data-turbo-transient> <meta name="route-controller" content="topics" data-turbo-transient> <meta name="route-action" content="show" data-turbo-transient> <meta name="current-catalog-service-hash" content="82c569b93da5c18ed649ebd4c2c79437db4611a6a1373e805a3cb001c64130b7"> <meta name="request-id" content="B996:383E5:27743E:2EA4A1:67EB6023" data-pjax-transient="true"/><meta name="html-safe-nonce" content="0dc7041bd3d4b58d50792ad1eb1c43c822dab9e88169ce38be0ddc6ac1851a40" data-pjax-transient="true"/><meta name="visitor-payload" content="eyJyZWZlcnJlciI6IiIsInJlcXVlc3RfaWQiOiJCOTk2OjM4M0U1OjI3NzQzRToyRUE0QTE6NjdFQjYwMjMiLCJ2aXNpdG9yX2lkIjoiMTk2MTY2MTAwMzQzMDIxNjAzIiwicmVnaW9uX2VkZ2UiOiJzb3V0aGVhc3Rhc2lhIiwicmVnaW9uX3JlbmRlciI6InNvdXRoZWFzdGFzaWEifQ==" data-pjax-transient="true"/><meta name="visitor-hmac" content="04db3cd7f66eba54afcd1ce2d23198fadd9980ce547a0dd84294b78838d9decc" data-pjax-transient="true"/> <meta name="github-keyboard-shortcuts" content="copilot" data-turbo-transient="true" /> <meta name="selected-link" value="/topics/deep-reinforcement-learning" data-turbo-transient> <link rel="assets" href="https://github.githubassets.com/"> <meta name="google-site-verification" content="Apib7-x98H0j5cPqHWwSMm6dNU4GmODRoqxLiDzdx9I"> <meta name="octolytics-url" content="https://collector.github.com/github/collect" /> <meta name="user-login" content=""> <meta name="viewport" content="width=device-width"> <meta name="description" content="GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects."> <link rel="search" type="application/opensearchdescription+xml" href="/opensearch.xml" title="GitHub"> <link rel="fluid-icon" href="https://github.com/fluidicon.png" title="GitHub"> <meta property="fb:app_id" content="1401488693436528"> <meta name="apple-itunes-app" content="app-id=1477376905, app-argument=https://github.com/topics/deep-reinforcement-learning" /> <meta property="og:url" content="https://github.com"> <meta property="og:site_name" content="GitHub"> <meta property="og:title" content="Build software better, together"> <meta property="og:description" content="GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects."> <meta property="og:image" content="https://github.githubassets.com/assets/github-logo-55c5b9a1fe52.png"> <meta property="og:image:type" content="image/png"> <meta property="og:image:width" content="1200"> <meta property="og:image:height" content="1200"> <meta property="og:image" content="https://github.githubassets.com/assets/github-mark-57519b92ca4e.png"> <meta property="og:image:type" content="image/png"> <meta property="og:image:width" content="1200"> <meta property="og:image:height" content="620"> <meta property="og:image" content="https://github.githubassets.com/assets/github-octocat-13c86b8b336d.png"> <meta property="og:image:type" content="image/png"> <meta property="og:image:width" content="1200"> <meta property="og:image:height" content="620"> <meta property="twitter:site" content="github"> <meta property="twitter:site:id" content="13334762"> <meta property="twitter:creator" content="github"> <meta property="twitter:creator:id" content="13334762"> <meta property="twitter:card" content="summary_large_image"> <meta property="twitter:title" content="GitHub"> <meta property="twitter:description" content="GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects."> <meta property="twitter:image" content="https://github.githubassets.com/assets/github-logo-55c5b9a1fe52.png"> <meta property="twitter:image:width" content="1200"> <meta property="twitter:image:height" content="1200"> <meta name="hostname" content="github.com"> <meta name="expected-hostname" content="github.com"> <meta http-equiv="x-pjax-version" content="f0325793dbfce58a8b6cbc004f98ba640bc2e76dca6a4f88c068f5baff420f39" data-turbo-track="reload"> <meta http-equiv="x-pjax-csp-version" content="fd0fc9381f4ed5c5ca218fda13c48a4f5d10dab98b1b7af72fe31052c3b80466" data-turbo-track="reload"> <meta http-equiv="x-pjax-css-version" content="159e03504eed5183f9787c72780a7d8c1460af30746ab09d728b048c41719efa" data-turbo-track="reload"> <meta http-equiv="x-pjax-js-version" content="0d9cd8178e36edfd373079ae98b19a2cf08a342e128df8f1653aa24bc094e9cf" data-turbo-track="reload"> <meta name="turbo-cache-control" content="no-preview" data-turbo-transient=""> <meta name="turbo-body-classes" content="logged-out env-production page-responsive"> <meta name="browser-stats-url" content="https://api.github.com/_private/browser/stats"> <meta name="browser-errors-url" content="https://api.github.com/_private/browser/errors"> <meta name="release" content="948c9f0e81c76ba4c87506ad81840361ff35d816"> <link rel="mask-icon" href="https://github.githubassets.com/assets/pinned-octocat-093da3e6fa40.svg" color="#000000"> <link rel="alternate icon" class="js-site-favicon" type="image/png" href="https://github.githubassets.com/favicons/favicon.png"> <link rel="icon" class="js-site-favicon" type="image/svg+xml" href="https://github.githubassets.com/favicons/favicon.svg" data-base-href="https://github.githubassets.com/favicons/favicon"> <meta name="theme-color" content="#1e2327"> <meta name="color-scheme" content="light dark" /> <link rel="manifest" href="/manifest.json" crossOrigin="use-credentials"> </head> <body class="logged-out env-production page-responsive" style="word-wrap: break-word;"> <div data-turbo-body class="logged-out env-production page-responsive" style="word-wrap: break-word;"> <div class="position-relative header-wrapper js-header-wrapper "> <a href="#start-of-content" data-skip-target-assigned="false" class="px-2 py-4 color-bg-accent-emphasis color-fg-on-emphasis show-on-focus js-skip-to-content">Skip to content</a> <span data-view-component="true" class="progress-pjax-loader Progress position-fixed width-full"> <span style="width: 0%;" data-view-component="true" class="Progress-item progress-pjax-loader-bar left-0 top-0 color-bg-accent-emphasis"></span> </span> <script crossorigin="anonymous" defer="defer" type="application/javascript" src="https://github.githubassets.com/assets/primer-react-602097a4b0db.js"></script> <script crossorigin="anonymous" defer="defer" type="application/javascript" src="https://github.githubassets.com/assets/react-core-0bc17999cb79.js"></script> <script crossorigin="anonymous" defer="defer" type="application/javascript" src="https://github.githubassets.com/assets/react-lib-f1bca44e0926.js"></script> <script crossorigin="anonymous" defer="defer" type="application/javascript" src="https://github.githubassets.com/assets/octicons-react-cf2f2ab8dab4.js"></script> <script crossorigin="anonymous" defer="defer" type="application/javascript" src="https://github.githubassets.com/assets/vendors-node_modules_emotion_is-prop-valid_dist_emotion-is-prop-valid_esm_js-node_modules_emo-62da9f-2df2f32ec596.js"></script> <script crossorigin="anonymous" defer="defer" type="application/javascript" src="https://github.githubassets.com/assets/vendors-node_modules_github_mini-throttle_dist_index_js-node_modules_stacktrace-parser_dist_s-e7dcdd-9a233856b02c.js"></script> <script crossorigin="anonymous" defer="defer" type="application/javascript" src="https://github.githubassets.com/assets/vendors-node_modules_oddbird_popover-polyfill_dist_popover-fn_js-55fea94174bf.js"></script> <script crossorigin="anonymous" defer="defer" type="application/javascript" src="https://github.githubassets.com/assets/ui_packages_ui-commands_ui-commands_ts-2ea4e93613c0.js"></script> <script crossorigin="anonymous" defer="defer" type="application/javascript" src="https://github.githubassets.com/assets/keyboard-shortcuts-dialog-79d6a754ebf9.js"></script> <link crossorigin="anonymous" media="all" rel="stylesheet" href="https://github.githubassets.com/assets/primer-react.8157a56b30ae88a1b356.module.css" /> <react-partial partial-name="keyboard-shortcuts-dialog" data-ssr="false" data-attempted-ssr="false" > <script type="application/json" data-target="react-partial.embeddedData">{"props":{"docsUrl":"https://docs.github.com/get-started/accessibility/keyboard-shortcuts"}}</script> <div data-target="react-partial.reactRoot"></div> </react-partial> <script crossorigin="anonymous" defer="defer" type="application/javascript" src="https://github.githubassets.com/assets/vendors-node_modules_github_remote-form_dist_index_js-node_modules_delegated-events_dist_inde-94fd67-4898d1bf4b51.js"></script> <script crossorigin="anonymous" defer="defer" type="application/javascript" src="https://github.githubassets.com/assets/sessions-730dca81d0a2.js"></script> <header class="HeaderMktg header-logged-out js-details-container js-header Details f4 py-3" role="banner" data-is-top="true" data-color-mode=light data-light-theme=light data-dark-theme=dark> <h2 class="sr-only">Navigation Menu</h2> <button type="button" class="HeaderMktg-backdrop d-lg-none border-0 position-fixed top-0 left-0 width-full height-full js-details-target" aria-label="Toggle navigation"> <span class="d-none">Toggle navigation</span> </button> <div class="d-flex flex-column flex-lg-row flex-items-center px-3 px-md-4 px-lg-5 height-full position-relative z-1"> <div class="d-flex flex-justify-between flex-items-center width-full width-lg-auto"> <div class="flex-1"> <button aria-label="Toggle navigation" aria-expanded="false" type="button" data-view-component="true" class="js-details-target js-nav-padding-recalculate js-header-menu-toggle Button--link Button--medium Button d-lg-none color-fg-inherit p-1"> <span class="Button-content"> <span class="Button-label"><div class="HeaderMenu-toggle-bar rounded my-1"></div> <div class="HeaderMenu-toggle-bar rounded my-1"></div> <div class="HeaderMenu-toggle-bar rounded my-1"></div></span> </span> </button> </div> <a class="mr-lg-3 color-fg-inherit flex-order-2 js-prevent-focus-on-mobile-nav" href="/" aria-label="Homepage" data-analytics-event="{"category":"Marketing nav","action":"click to go to homepage","label":"ref_page:Marketing;ref_cta:Logomark;ref_loc:Header"}"> <svg height="32" aria-hidden="true" viewBox="0 0 24 24" version="1.1" width="32" data-view-component="true" class="octicon octicon-mark-github"> <path d="M12 1C5.9225 1 1 5.9225 1 12C1 16.8675 4.14875 20.9787 8.52125 22.4362C9.07125 22.5325 9.2775 22.2025 9.2775 21.9137C9.2775 21.6525 9.26375 20.7862 9.26375 19.865C6.5 20.3737 5.785 19.1912 5.565 18.5725C5.44125 18.2562 4.905 17.28 4.4375 17.0187C4.0525 16.8125 3.5025 16.3037 4.42375 16.29C5.29 16.2762 5.90875 17.0875 6.115 17.4175C7.105 19.0812 8.68625 18.6137 9.31875 18.325C9.415 17.61 9.70375 17.1287 10.02 16.8537C7.5725 16.5787 5.015 15.63 5.015 11.4225C5.015 10.2262 5.44125 9.23625 6.1425 8.46625C6.0325 8.19125 5.6475 7.06375 6.2525 5.55125C6.2525 5.55125 7.17375 5.2625 9.2775 6.67875C10.1575 6.43125 11.0925 6.3075 12.0275 6.3075C12.9625 6.3075 13.8975 6.43125 14.7775 6.67875C16.8813 5.24875 17.8025 5.55125 17.8025 5.55125C18.4075 7.06375 18.0225 8.19125 17.9125 8.46625C18.6138 9.23625 19.04 10.2125 19.04 11.4225C19.04 15.6437 16.4688 16.5787 14.0213 16.8537C14.42 17.1975 14.7638 17.8575 14.7638 18.8887C14.7638 20.36 14.75 21.5425 14.75 21.9137C14.75 22.2025 14.9563 22.5462 15.5063 22.4362C19.8513 20.9787 23 16.8537 23 12C23 5.9225 18.0775 1 12 1Z"></path> </svg> </a> <div class="flex-1 flex-order-2 text-right"> <a href="/login?return_to=https%3A%2F%2Fgithub.com%2Ftopics%2Fdeep-reinforcement-learning" class="HeaderMenu-link HeaderMenu-button d-inline-flex d-lg-none flex-order-1 f5 no-underline border color-border-default rounded-2 px-2 py-1 color-fg-inherit js-prevent-focus-on-mobile-nav" data-hydro-click="{"event_type":"authentication.click","payload":{"location_in_page":"site header menu","repository_id":null,"auth_type":"SIGN_UP","originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="41b7bc0390307ea0aed99c1fe57e977ebb50cc96a267cc5931f140ce8b820f33" data-analytics-event="{"category":"Marketing nav","action":"click to Sign in","label":"ref_page:Marketing;ref_cta:Sign in;ref_loc:Header"}" > Sign in </a> </div> </div> <div class="HeaderMenu js-header-menu height-fit position-lg-relative d-lg-flex flex-column flex-auto top-0"> <div class="HeaderMenu-wrapper d-flex flex-column flex-self-start flex-lg-row flex-auto rounded rounded-lg-0"> <nav class="HeaderMenu-nav" aria-label="Global"> <ul class="d-lg-flex list-style-none"> <li class="HeaderMenu-item position-relative flex-wrap flex-justify-between flex-items-center d-block d-lg-flex flex-lg-nowrap flex-lg-items-center js-details-container js-header-menu-item"> <button type="button" class="HeaderMenu-link border-0 width-full width-lg-auto px-0 px-lg-2 py-lg-2 no-wrap d-flex flex-items-center flex-justify-between js-details-target" aria-expanded="false"> Product <svg opacity="0.5" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-chevron-down HeaderMenu-icon ml-1"> <path d="M12.78 5.22a.749.749 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.06 0L3.22 6.28a.749.749 0 1 1 1.06-1.06L8 8.939l3.72-3.719a.749.749 0 0 1 1.06 0Z"></path> </svg> </button> <div class="HeaderMenu-dropdown dropdown-menu rounded m-0 p-0 pt-2 pt-lg-4 position-relative position-lg-absolute left-0 left-lg-n3 pb-2 pb-lg-4 d-lg-flex flex-wrap dropdown-menu-wide"> <div class="HeaderMenu-column px-lg-4 border-lg-right mb-4 mb-lg-0 pr-lg-7"> <div class="border-bottom pb-3 pb-lg-0 border-lg-bottom-0"> <ul class="list-style-none f5" > <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{"location":"navbar","action":"github_copilot","context":"product","tag":"link","label":"github_copilot_link_product_navbar"}" href="https://github.com/features/copilot"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-copilot color-fg-subtle mr-3"> <path d="M23.922 16.992c-.861 1.495-5.859 5.023-11.922 5.023-6.063 0-11.061-3.528-11.922-5.023A.641.641 0 0 1 0 16.736v-2.869a.841.841 0 0 1 .053-.22c.372-.935 1.347-2.292 2.605-2.656.167-.429.414-1.055.644-1.517a10.195 10.195 0 0 1-.052-1.086c0-1.331.282-2.499 1.132-3.368.397-.406.89-.717 1.474-.952 1.399-1.136 3.392-2.093 6.122-2.093 2.731 0 4.767.957 6.166 2.093.584.235 1.077.546 1.474.952.85.869 1.132 2.037 1.132 3.368 0 .368-.014.733-.052 1.086.23.462.477 1.088.644 1.517 1.258.364 2.233 1.721 2.605 2.656a.832.832 0 0 1 .053.22v2.869a.641.641 0 0 1-.078.256ZM12.172 11h-.344a4.323 4.323 0 0 1-.355.508C10.703 12.455 9.555 13 7.965 13c-1.725 0-2.989-.359-3.782-1.259a2.005 2.005 0 0 1-.085-.104L4 11.741v6.585c1.435.779 4.514 2.179 8 2.179 3.486 0 6.565-1.4 8-2.179v-6.585l-.098-.104s-.033.045-.085.104c-.793.9-2.057 1.259-3.782 1.259-1.59 0-2.738-.545-3.508-1.492a4.323 4.323 0 0 1-.355-.508h-.016.016Zm.641-2.935c.136 1.057.403 1.913.878 2.497.442.544 1.134.938 2.344.938 1.573 0 2.292-.337 2.657-.751.384-.435.558-1.15.558-2.361 0-1.14-.243-1.847-.705-2.319-.477-.488-1.319-.862-2.824-1.025-1.487-.161-2.192.138-2.533.529-.269.307-.437.808-.438 1.578v.021c0 .265.021.562.063.893Zm-1.626 0c.042-.331.063-.628.063-.894v-.02c-.001-.77-.169-1.271-.438-1.578-.341-.391-1.046-.69-2.533-.529-1.505.163-2.347.537-2.824 1.025-.462.472-.705 1.179-.705 2.319 0 1.211.175 1.926.558 2.361.365.414 1.084.751 2.657.751 1.21 0 1.902-.394 2.344-.938.475-.584.742-1.44.878-2.497Z"></path><path d="M14.5 14.25a1 1 0 0 1 1 1v2a1 1 0 0 1-2 0v-2a1 1 0 0 1 1-1Zm-5 0a1 1 0 0 1 1 1v2a1 1 0 0 1-2 0v-2a1 1 0 0 1 1-1Z"></path> </svg> <div> <div class="color-fg-default h4">GitHub Copilot</div> Write better code with AI </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{"location":"navbar","action":"security","context":"product","tag":"link","label":"security_link_product_navbar"}" href="https://github.com/features/security"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-shield-check color-fg-subtle mr-3"> <path d="M16.53 9.78a.75.75 0 0 0-1.06-1.06L11 13.19l-1.97-1.97a.75.75 0 0 0-1.06 1.06l2.5 2.5a.75.75 0 0 0 1.06 0l5-5Z"></path><path d="m12.54.637 8.25 2.675A1.75 1.75 0 0 1 22 4.976V10c0 6.19-3.771 10.704-9.401 12.83a1.704 1.704 0 0 1-1.198 0C5.77 20.705 2 16.19 2 10V4.976c0-.758.489-1.43 1.21-1.664L11.46.637a1.748 1.748 0 0 1 1.08 0Zm-.617 1.426-8.25 2.676a.249.249 0 0 0-.173.237V10c0 5.46 3.28 9.483 8.43 11.426a.199.199 0 0 0 .14 0C17.22 19.483 20.5 15.461 20.5 10V4.976a.25.25 0 0 0-.173-.237l-8.25-2.676a.253.253 0 0 0-.154 0Z"></path> </svg> <div> <div class="color-fg-default h4">Security</div> Find and fix vulnerabilities </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{"location":"navbar","action":"actions","context":"product","tag":"link","label":"actions_link_product_navbar"}" href="https://github.com/features/actions"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-workflow color-fg-subtle mr-3"> <path d="M1 3a2 2 0 0 1 2-2h6.5a2 2 0 0 1 2 2v6.5a2 2 0 0 1-2 2H7v4.063C7 16.355 7.644 17 8.438 17H12.5v-2.5a2 2 0 0 1 2-2H21a2 2 0 0 1 2 2V21a2 2 0 0 1-2 2h-6.5a2 2 0 0 1-2-2v-2.5H8.437A2.939 2.939 0 0 1 5.5 15.562V11.5H3a2 2 0 0 1-2-2Zm2-.5a.5.5 0 0 0-.5.5v6.5a.5.5 0 0 0 .5.5h6.5a.5.5 0 0 0 .5-.5V3a.5.5 0 0 0-.5-.5ZM14.5 14a.5.5 0 0 0-.5.5V21a.5.5 0 0 0 .5.5H21a.5.5 0 0 0 .5-.5v-6.5a.5.5 0 0 0-.5-.5Z"></path> </svg> <div> <div class="color-fg-default h4">Actions</div> Automate any workflow </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{"location":"navbar","action":"codespaces","context":"product","tag":"link","label":"codespaces_link_product_navbar"}" href="https://github.com/features/codespaces"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-codespaces color-fg-subtle mr-3"> <path d="M3.5 3.75C3.5 2.784 4.284 2 5.25 2h13.5c.966 0 1.75.784 1.75 1.75v7.5A1.75 1.75 0 0 1 18.75 13H5.25a1.75 1.75 0 0 1-1.75-1.75Zm-2 12c0-.966.784-1.75 1.75-1.75h17.5c.966 0 1.75.784 1.75 1.75v4a1.75 1.75 0 0 1-1.75 1.75H3.25a1.75 1.75 0 0 1-1.75-1.75ZM5.25 3.5a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h13.5a.25.25 0 0 0 .25-.25v-7.5a.25.25 0 0 0-.25-.25Zm-2 12a.25.25 0 0 0-.25.25v4c0 .138.112.25.25.25h17.5a.25.25 0 0 0 .25-.25v-4a.25.25 0 0 0-.25-.25Z"></path><path d="M10 17.75a.75.75 0 0 1 .75-.75h6.5a.75.75 0 0 1 0 1.5h-6.5a.75.75 0 0 1-.75-.75Zm-4 0a.75.75 0 0 1 .75-.75h.5a.75.75 0 0 1 0 1.5h-.5a.75.75 0 0 1-.75-.75Z"></path> </svg> <div> <div class="color-fg-default h4">Codespaces</div> Instant dev environments </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{"location":"navbar","action":"issues","context":"product","tag":"link","label":"issues_link_product_navbar"}" href="https://github.com/features/issues"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-issue-opened color-fg-subtle mr-3"> <path d="M12 1c6.075 0 11 4.925 11 11s-4.925 11-11 11S1 18.075 1 12 5.925 1 12 1ZM2.5 12a9.5 9.5 0 0 0 9.5 9.5 9.5 9.5 0 0 0 9.5-9.5A9.5 9.5 0 0 0 12 2.5 9.5 9.5 0 0 0 2.5 12Zm9.5 2a2 2 0 1 1-.001-3.999A2 2 0 0 1 12 14Z"></path> </svg> <div> <div class="color-fg-default h4">Issues</div> Plan and track work </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{"location":"navbar","action":"code_review","context":"product","tag":"link","label":"code_review_link_product_navbar"}" href="https://github.com/features/code-review"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-code-review color-fg-subtle mr-3"> <path d="M10.3 6.74a.75.75 0 0 1-.04 1.06l-2.908 2.7 2.908 2.7a.75.75 0 1 1-1.02 1.1l-3.5-3.25a.75.75 0 0 1 0-1.1l3.5-3.25a.75.75 0 0 1 1.06.04Zm3.44 1.06a.75.75 0 1 1 1.02-1.1l3.5 3.25a.75.75 0 0 1 0 1.1l-3.5 3.25a.75.75 0 1 1-1.02-1.1l2.908-2.7-2.908-2.7Z"></path><path d="M1.5 4.25c0-.966.784-1.75 1.75-1.75h17.5c.966 0 1.75.784 1.75 1.75v12.5a1.75 1.75 0 0 1-1.75 1.75h-9.69l-3.573 3.573A1.458 1.458 0 0 1 5 21.043V18.5H3.25a1.75 1.75 0 0 1-1.75-1.75ZM3.25 4a.25.25 0 0 0-.25.25v12.5c0 .138.112.25.25.25h2.5a.75.75 0 0 1 .75.75v3.19l3.72-3.72a.749.749 0 0 1 .53-.22h10a.25.25 0 0 0 .25-.25V4.25a.25.25 0 0 0-.25-.25Z"></path> </svg> <div> <div class="color-fg-default h4">Code Review</div> Manage code changes </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{"location":"navbar","action":"discussions","context":"product","tag":"link","label":"discussions_link_product_navbar"}" href="https://github.com/features/discussions"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-comment-discussion color-fg-subtle mr-3"> <path d="M1.75 1h12.5c.966 0 1.75.784 1.75 1.75v9.5A1.75 1.75 0 0 1 14.25 14H8.061l-2.574 2.573A1.458 1.458 0 0 1 3 15.543V14H1.75A1.75 1.75 0 0 1 0 12.25v-9.5C0 1.784.784 1 1.75 1ZM1.5 2.75v9.5c0 .138.112.25.25.25h2a.75.75 0 0 1 .75.75v2.19l2.72-2.72a.749.749 0 0 1 .53-.22h6.5a.25.25 0 0 0 .25-.25v-9.5a.25.25 0 0 0-.25-.25H1.75a.25.25 0 0 0-.25.25Z"></path><path d="M22.5 8.75a.25.25 0 0 0-.25-.25h-3.5a.75.75 0 0 1 0-1.5h3.5c.966 0 1.75.784 1.75 1.75v9.5A1.75 1.75 0 0 1 22.25 20H21v1.543a1.457 1.457 0 0 1-2.487 1.03L15.939 20H10.75A1.75 1.75 0 0 1 9 18.25v-1.465a.75.75 0 0 1 1.5 0v1.465c0 .138.112.25.25.25h5.5a.75.75 0 0 1 .53.22l2.72 2.72v-2.19a.75.75 0 0 1 .75-.75h2a.25.25 0 0 0 .25-.25v-9.5Z"></path> </svg> <div> <div class="color-fg-default h4">Discussions</div> Collaborate outside of code </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description" data-analytics-event="{"location":"navbar","action":"code_search","context":"product","tag":"link","label":"code_search_link_product_navbar"}" href="https://github.com/features/code-search"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-code-square color-fg-subtle mr-3"> <path d="M10.3 8.24a.75.75 0 0 1-.04 1.06L7.352 12l2.908 2.7a.75.75 0 1 1-1.02 1.1l-3.5-3.25a.75.75 0 0 1 0-1.1l3.5-3.25a.75.75 0 0 1 1.06.04Zm3.44 1.06a.75.75 0 1 1 1.02-1.1l3.5 3.25a.75.75 0 0 1 0 1.1l-3.5 3.25a.75.75 0 1 1-1.02-1.1l2.908-2.7-2.908-2.7Z"></path><path d="M2 3.75C2 2.784 2.784 2 3.75 2h16.5c.966 0 1.75.784 1.75 1.75v16.5A1.75 1.75 0 0 1 20.25 22H3.75A1.75 1.75 0 0 1 2 20.25Zm1.75-.25a.25.25 0 0 0-.25.25v16.5c0 .138.112.25.25.25h16.5a.25.25 0 0 0 .25-.25V3.75a.25.25 0 0 0-.25-.25Z"></path> </svg> <div> <div class="color-fg-default h4">Code Search</div> Find more, search less </div> </a></li> </ul> </div> </div> <div class="HeaderMenu-column px-lg-4"> <div class="border-bottom pb-3 pb-lg-0 border-lg-bottom-0 border-bottom-0"> <span class="d-block h4 color-fg-default my-1" id="product-explore-heading">Explore</span> <ul class="list-style-none f5" aria-labelledby="product-explore-heading"> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"all_features","context":"product","tag":"link","label":"all_features_link_product_navbar"}" href="https://github.com/features"> All features </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary Link--external" target="_blank" data-analytics-event="{"location":"navbar","action":"documentation","context":"product","tag":"link","label":"documentation_link_product_navbar"}" href="https://docs.github.com"> Documentation <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-link-external HeaderMenu-external-icon color-fg-subtle"> <path d="M3.75 2h3.5a.75.75 0 0 1 0 1.5h-3.5a.25.25 0 0 0-.25.25v8.5c0 .138.112.25.25.25h8.5a.25.25 0 0 0 .25-.25v-3.5a.75.75 0 0 1 1.5 0v3.5A1.75 1.75 0 0 1 12.25 14h-8.5A1.75 1.75 0 0 1 2 12.25v-8.5C2 2.784 2.784 2 3.75 2Zm6.854-1h4.146a.25.25 0 0 1 .25.25v4.146a.25.25 0 0 1-.427.177L13.03 4.03 9.28 7.78a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042l3.75-3.75-1.543-1.543A.25.25 0 0 1 10.604 1Z"></path> </svg> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary Link--external" target="_blank" data-analytics-event="{"location":"navbar","action":"github_skills","context":"product","tag":"link","label":"github_skills_link_product_navbar"}" href="https://skills.github.com"> GitHub Skills <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-link-external HeaderMenu-external-icon color-fg-subtle"> <path d="M3.75 2h3.5a.75.75 0 0 1 0 1.5h-3.5a.25.25 0 0 0-.25.25v8.5c0 .138.112.25.25.25h8.5a.25.25 0 0 0 .25-.25v-3.5a.75.75 0 0 1 1.5 0v3.5A1.75 1.75 0 0 1 12.25 14h-8.5A1.75 1.75 0 0 1 2 12.25v-8.5C2 2.784 2.784 2 3.75 2Zm6.854-1h4.146a.25.25 0 0 1 .25.25v4.146a.25.25 0 0 1-.427.177L13.03 4.03 9.28 7.78a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042l3.75-3.75-1.543-1.543A.25.25 0 0 1 10.604 1Z"></path> </svg> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary Link--external" target="_blank" data-analytics-event="{"location":"navbar","action":"blog","context":"product","tag":"link","label":"blog_link_product_navbar"}" href="https://github.blog"> Blog <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-link-external HeaderMenu-external-icon color-fg-subtle"> <path d="M3.75 2h3.5a.75.75 0 0 1 0 1.5h-3.5a.25.25 0 0 0-.25.25v8.5c0 .138.112.25.25.25h8.5a.25.25 0 0 0 .25-.25v-3.5a.75.75 0 0 1 1.5 0v3.5A1.75 1.75 0 0 1 12.25 14h-8.5A1.75 1.75 0 0 1 2 12.25v-8.5C2 2.784 2.784 2 3.75 2Zm6.854-1h4.146a.25.25 0 0 1 .25.25v4.146a.25.25 0 0 1-.427.177L13.03 4.03 9.28 7.78a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042l3.75-3.75-1.543-1.543A.25.25 0 0 1 10.604 1Z"></path> </svg> </a></li> </ul> </div> </div> </div> </li> <li class="HeaderMenu-item position-relative flex-wrap flex-justify-between flex-items-center d-block d-lg-flex flex-lg-nowrap flex-lg-items-center js-details-container js-header-menu-item"> <button type="button" class="HeaderMenu-link border-0 width-full width-lg-auto px-0 px-lg-2 py-lg-2 no-wrap d-flex flex-items-center flex-justify-between js-details-target" aria-expanded="false"> Solutions <svg opacity="0.5" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-chevron-down HeaderMenu-icon ml-1"> <path d="M12.78 5.22a.749.749 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.06 0L3.22 6.28a.749.749 0 1 1 1.06-1.06L8 8.939l3.72-3.719a.749.749 0 0 1 1.06 0Z"></path> </svg> </button> <div class="HeaderMenu-dropdown dropdown-menu rounded m-0 p-0 pt-2 pt-lg-4 position-relative position-lg-absolute left-0 left-lg-n3 d-lg-flex flex-wrap dropdown-menu-wide"> <div class="HeaderMenu-column px-lg-4 border-lg-right mb-4 mb-lg-0 pr-lg-7"> <div class="border-bottom pb-3 pb-lg-0 border-lg-bottom-0 pb-lg-3 mb-3 mb-lg-0"> <span class="d-block h4 color-fg-default my-1" id="solutions-by-company-size-heading">By company size</span> <ul class="list-style-none f5" aria-labelledby="solutions-by-company-size-heading"> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"enterprises","context":"solutions","tag":"link","label":"enterprises_link_solutions_navbar"}" href="https://github.com/enterprise"> Enterprises </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"small_and_medium_teams","context":"solutions","tag":"link","label":"small_and_medium_teams_link_solutions_navbar"}" href="https://github.com/team"> Small and medium teams </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"startups","context":"solutions","tag":"link","label":"startups_link_solutions_navbar"}" href="https://github.com/enterprise/startups"> Startups </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"nonprofits","context":"solutions","tag":"link","label":"nonprofits_link_solutions_navbar"}" href="/solutions/industry/nonprofits"> Nonprofits </a></li> </ul> </div> <div class="border-bottom pb-3 pb-lg-0 border-lg-bottom-0"> <span class="d-block h4 color-fg-default my-1" id="solutions-by-use-case-heading">By use case</span> <ul class="list-style-none f5" aria-labelledby="solutions-by-use-case-heading"> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"devsecops","context":"solutions","tag":"link","label":"devsecops_link_solutions_navbar"}" href="/solutions/use-case/devsecops"> DevSecOps </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"devops","context":"solutions","tag":"link","label":"devops_link_solutions_navbar"}" href="/solutions/use-case/devops"> DevOps </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"ci_cd","context":"solutions","tag":"link","label":"ci_cd_link_solutions_navbar"}" href="/solutions/use-case/ci-cd"> CI/CD </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"view_all_use_cases","context":"solutions","tag":"link","label":"view_all_use_cases_link_solutions_navbar"}" href="/solutions/use-case"> View all use cases </a></li> </ul> </div> </div> <div class="HeaderMenu-column px-lg-4"> <div class="border-bottom pb-3 pb-lg-0 border-lg-bottom-0"> <span class="d-block h4 color-fg-default my-1" id="solutions-by-industry-heading">By industry</span> <ul class="list-style-none f5" aria-labelledby="solutions-by-industry-heading"> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"healthcare","context":"solutions","tag":"link","label":"healthcare_link_solutions_navbar"}" href="/solutions/industry/healthcare"> Healthcare </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"financial_services","context":"solutions","tag":"link","label":"financial_services_link_solutions_navbar"}" href="/solutions/industry/financial-services"> Financial services </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"manufacturing","context":"solutions","tag":"link","label":"manufacturing_link_solutions_navbar"}" href="/solutions/industry/manufacturing"> Manufacturing </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"government","context":"solutions","tag":"link","label":"government_link_solutions_navbar"}" href="/solutions/industry/government"> Government </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"view_all_industries","context":"solutions","tag":"link","label":"view_all_industries_link_solutions_navbar"}" href="/solutions/industry"> View all industries </a></li> </ul> </div> </div> <div class="HeaderMenu-trailing-link rounded-bottom-2 flex-shrink-0 mt-lg-4 px-lg-4 py-4 py-lg-3 f5 text-semibold"> <a href="/solutions"> View all solutions <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-chevron-right HeaderMenu-trailing-link-icon"> <path d="M6.22 3.22a.75.75 0 0 1 1.06 0l4.25 4.25a.75.75 0 0 1 0 1.06l-4.25 4.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L9.94 8 6.22 4.28a.75.75 0 0 1 0-1.06Z"></path> </svg> </a> </div> </div> </li> <li class="HeaderMenu-item position-relative flex-wrap flex-justify-between flex-items-center d-block d-lg-flex flex-lg-nowrap flex-lg-items-center js-details-container js-header-menu-item"> <button type="button" class="HeaderMenu-link border-0 width-full width-lg-auto px-0 px-lg-2 py-lg-2 no-wrap d-flex flex-items-center flex-justify-between js-details-target" aria-expanded="false"> Resources <svg opacity="0.5" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-chevron-down HeaderMenu-icon ml-1"> <path d="M12.78 5.22a.749.749 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.06 0L3.22 6.28a.749.749 0 1 1 1.06-1.06L8 8.939l3.72-3.719a.749.749 0 0 1 1.06 0Z"></path> </svg> </button> <div class="HeaderMenu-dropdown dropdown-menu rounded m-0 p-0 pt-2 pt-lg-4 position-relative position-lg-absolute left-0 left-lg-n3 pb-2 pb-lg-4 d-lg-flex flex-wrap dropdown-menu-wide"> <div class="HeaderMenu-column px-lg-4 border-lg-right mb-4 mb-lg-0 pr-lg-7"> <div class="border-bottom pb-3 pb-lg-0 border-lg-bottom-0"> <span class="d-block h4 color-fg-default my-1" id="resources-topics-heading">Topics</span> <ul class="list-style-none f5" aria-labelledby="resources-topics-heading"> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"ai","context":"resources","tag":"link","label":"ai_link_resources_navbar"}" href="/resources/articles/ai"> AI </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"devops","context":"resources","tag":"link","label":"devops_link_resources_navbar"}" href="/resources/articles/devops"> DevOps </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"security","context":"resources","tag":"link","label":"security_link_resources_navbar"}" href="/resources/articles/security"> Security </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"software_development","context":"resources","tag":"link","label":"software_development_link_resources_navbar"}" href="/resources/articles/software-development"> Software Development </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"view_all","context":"resources","tag":"link","label":"view_all_link_resources_navbar"}" href="/resources/articles"> View all </a></li> </ul> </div> </div> <div class="HeaderMenu-column px-lg-4"> <div class="border-bottom pb-3 pb-lg-0 border-lg-bottom-0 border-bottom-0"> <span class="d-block h4 color-fg-default my-1" id="resources-explore-heading">Explore</span> <ul class="list-style-none f5" aria-labelledby="resources-explore-heading"> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary Link--external" target="_blank" data-analytics-event="{"location":"navbar","action":"learning_pathways","context":"resources","tag":"link","label":"learning_pathways_link_resources_navbar"}" href="https://resources.github.com/learn/pathways"> Learning Pathways <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-link-external HeaderMenu-external-icon color-fg-subtle"> <path d="M3.75 2h3.5a.75.75 0 0 1 0 1.5h-3.5a.25.25 0 0 0-.25.25v8.5c0 .138.112.25.25.25h8.5a.25.25 0 0 0 .25-.25v-3.5a.75.75 0 0 1 1.5 0v3.5A1.75 1.75 0 0 1 12.25 14h-8.5A1.75 1.75 0 0 1 2 12.25v-8.5C2 2.784 2.784 2 3.75 2Zm6.854-1h4.146a.25.25 0 0 1 .25.25v4.146a.25.25 0 0 1-.427.177L13.03 4.03 9.28 7.78a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042l3.75-3.75-1.543-1.543A.25.25 0 0 1 10.604 1Z"></path> </svg> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary Link--external" target="_blank" data-analytics-event="{"location":"navbar","action":"events_amp_webinars","context":"resources","tag":"link","label":"events_amp_webinars_link_resources_navbar"}" href="https://resources.github.com"> Events & Webinars <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-link-external HeaderMenu-external-icon color-fg-subtle"> <path d="M3.75 2h3.5a.75.75 0 0 1 0 1.5h-3.5a.25.25 0 0 0-.25.25v8.5c0 .138.112.25.25.25h8.5a.25.25 0 0 0 .25-.25v-3.5a.75.75 0 0 1 1.5 0v3.5A1.75 1.75 0 0 1 12.25 14h-8.5A1.75 1.75 0 0 1 2 12.25v-8.5C2 2.784 2.784 2 3.75 2Zm6.854-1h4.146a.25.25 0 0 1 .25.25v4.146a.25.25 0 0 1-.427.177L13.03 4.03 9.28 7.78a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042l3.75-3.75-1.543-1.543A.25.25 0 0 1 10.604 1Z"></path> </svg> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"ebooks_amp_whitepapers","context":"resources","tag":"link","label":"ebooks_amp_whitepapers_link_resources_navbar"}" href="https://github.com/resources/whitepapers"> Ebooks & Whitepapers </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"customer_stories","context":"resources","tag":"link","label":"customer_stories_link_resources_navbar"}" href="https://github.com/customer-stories"> Customer Stories </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary Link--external" target="_blank" data-analytics-event="{"location":"navbar","action":"partners","context":"resources","tag":"link","label":"partners_link_resources_navbar"}" href="https://partner.github.com"> Partners <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-link-external HeaderMenu-external-icon color-fg-subtle"> <path d="M3.75 2h3.5a.75.75 0 0 1 0 1.5h-3.5a.25.25 0 0 0-.25.25v8.5c0 .138.112.25.25.25h8.5a.25.25 0 0 0 .25-.25v-3.5a.75.75 0 0 1 1.5 0v3.5A1.75 1.75 0 0 1 12.25 14h-8.5A1.75 1.75 0 0 1 2 12.25v-8.5C2 2.784 2.784 2 3.75 2Zm6.854-1h4.146a.25.25 0 0 1 .25.25v4.146a.25.25 0 0 1-.427.177L13.03 4.03 9.28 7.78a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042l3.75-3.75-1.543-1.543A.25.25 0 0 1 10.604 1Z"></path> </svg> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"executive_insights","context":"resources","tag":"link","label":"executive_insights_link_resources_navbar"}" href="https://github.com/solutions/executive-insights"> Executive Insights </a></li> </ul> </div> </div> </div> </li> <li class="HeaderMenu-item position-relative flex-wrap flex-justify-between flex-items-center d-block d-lg-flex flex-lg-nowrap flex-lg-items-center js-details-container js-header-menu-item"> <button type="button" class="HeaderMenu-link border-0 width-full width-lg-auto px-0 px-lg-2 py-lg-2 no-wrap d-flex flex-items-center flex-justify-between js-details-target" aria-expanded="false"> Open Source <svg opacity="0.5" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-chevron-down HeaderMenu-icon ml-1"> <path d="M12.78 5.22a.749.749 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.06 0L3.22 6.28a.749.749 0 1 1 1.06-1.06L8 8.939l3.72-3.719a.749.749 0 0 1 1.06 0Z"></path> </svg> </button> <div class="HeaderMenu-dropdown dropdown-menu rounded m-0 p-0 pt-2 pt-lg-4 position-relative position-lg-absolute left-0 left-lg-n3 pb-2 pb-lg-4 px-lg-4"> <div class="HeaderMenu-column"> <div class="border-bottom pb-3 pb-lg-0 pb-lg-3 mb-3 mb-lg-0 mb-lg-3"> <ul class="list-style-none f5" > <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description" data-analytics-event="{"location":"navbar","action":"github_sponsors","context":"open_source","tag":"link","label":"github_sponsors_link_open_source_navbar"}" href="/sponsors"> <div> <div class="color-fg-default h4">GitHub Sponsors</div> Fund open source developers </div> </a></li> </ul> </div> <div class="border-bottom pb-3 pb-lg-0 pb-lg-3 mb-3 mb-lg-0 mb-lg-3"> <ul class="list-style-none f5" > <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description" data-analytics-event="{"location":"navbar","action":"the_readme_project","context":"open_source","tag":"link","label":"the_readme_project_link_open_source_navbar"}" href="https://github.com/readme"> <div> <div class="color-fg-default h4">The ReadME Project</div> GitHub community articles </div> </a></li> </ul> </div> <div class="border-bottom pb-3 pb-lg-0 border-bottom-0"> <span class="d-block h4 color-fg-default my-1" id="open-source-repositories-heading">Repositories</span> <ul class="list-style-none f5" aria-labelledby="open-source-repositories-heading"> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"topics","context":"open_source","tag":"link","label":"topics_link_open_source_navbar"}" href="https://github.com/topics"> Topics </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"trending","context":"open_source","tag":"link","label":"trending_link_open_source_navbar"}" href="https://github.com/trending"> Trending </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"collections","context":"open_source","tag":"link","label":"collections_link_open_source_navbar"}" href="https://github.com/collections"> Collections </a></li> </ul> </div> </div> </div> </li> <li class="HeaderMenu-item position-relative flex-wrap flex-justify-between flex-items-center d-block d-lg-flex flex-lg-nowrap flex-lg-items-center js-details-container js-header-menu-item"> <button type="button" class="HeaderMenu-link border-0 width-full width-lg-auto px-0 px-lg-2 py-lg-2 no-wrap d-flex flex-items-center flex-justify-between js-details-target" aria-expanded="false"> Enterprise <svg opacity="0.5" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-chevron-down HeaderMenu-icon ml-1"> <path d="M12.78 5.22a.749.749 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.06 0L3.22 6.28a.749.749 0 1 1 1.06-1.06L8 8.939l3.72-3.719a.749.749 0 0 1 1.06 0Z"></path> </svg> </button> <div class="HeaderMenu-dropdown dropdown-menu rounded m-0 p-0 pt-2 pt-lg-4 position-relative position-lg-absolute left-0 left-lg-n3 pb-2 pb-lg-4 px-lg-4"> <div class="HeaderMenu-column"> <div class="border-bottom pb-3 pb-lg-0 pb-lg-3 mb-3 mb-lg-0 mb-lg-3"> <ul class="list-style-none f5" > <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description" data-analytics-event="{"location":"navbar","action":"enterprise_platform","context":"enterprise","tag":"link","label":"enterprise_platform_link_enterprise_navbar"}" href="/enterprise"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-stack color-fg-subtle mr-3"> <path d="M11.063 1.456a1.749 1.749 0 0 1 1.874 0l8.383 5.316a1.751 1.751 0 0 1 0 2.956l-8.383 5.316a1.749 1.749 0 0 1-1.874 0L2.68 9.728a1.751 1.751 0 0 1 0-2.956Zm1.071 1.267a.25.25 0 0 0-.268 0L3.483 8.039a.25.25 0 0 0 0 .422l8.383 5.316a.25.25 0 0 0 .268 0l8.383-5.316a.25.25 0 0 0 0-.422Z"></path><path d="M1.867 12.324a.75.75 0 0 1 1.035-.232l8.964 5.685a.25.25 0 0 0 .268 0l8.964-5.685a.75.75 0 0 1 .804 1.267l-8.965 5.685a1.749 1.749 0 0 1-1.874 0l-8.965-5.685a.75.75 0 0 1-.231-1.035Z"></path><path d="M1.867 16.324a.75.75 0 0 1 1.035-.232l8.964 5.685a.25.25 0 0 0 .268 0l8.964-5.685a.75.75 0 0 1 .804 1.267l-8.965 5.685a1.749 1.749 0 0 1-1.874 0l-8.965-5.685a.75.75 0 0 1-.231-1.035Z"></path> </svg> <div> <div class="color-fg-default h4">Enterprise platform</div> AI-powered developer platform </div> </a></li> </ul> </div> <div class="border-bottom pb-3 pb-lg-0 border-bottom-0"> <span class="d-block h4 color-fg-default my-1" id="enterprise-available-add-ons-heading">Available add-ons</span> <ul class="list-style-none f5" aria-labelledby="enterprise-available-add-ons-heading"> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{"location":"navbar","action":"advanced_security","context":"enterprise","tag":"link","label":"advanced_security_link_enterprise_navbar"}" href="https://github.com/enterprise/advanced-security"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-shield-check color-fg-subtle mr-3"> <path d="M16.53 9.78a.75.75 0 0 0-1.06-1.06L11 13.19l-1.97-1.97a.75.75 0 0 0-1.06 1.06l2.5 2.5a.75.75 0 0 0 1.06 0l5-5Z"></path><path d="m12.54.637 8.25 2.675A1.75 1.75 0 0 1 22 4.976V10c0 6.19-3.771 10.704-9.401 12.83a1.704 1.704 0 0 1-1.198 0C5.77 20.705 2 16.19 2 10V4.976c0-.758.489-1.43 1.21-1.664L11.46.637a1.748 1.748 0 0 1 1.08 0Zm-.617 1.426-8.25 2.676a.249.249 0 0 0-.173.237V10c0 5.46 3.28 9.483 8.43 11.426a.199.199 0 0 0 .14 0C17.22 19.483 20.5 15.461 20.5 10V4.976a.25.25 0 0 0-.173-.237l-8.25-2.676a.253.253 0 0 0-.154 0Z"></path> </svg> <div> <div class="color-fg-default h4">Advanced Security</div> Enterprise-grade security features </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{"location":"navbar","action":"copilot_for_business","context":"enterprise","tag":"link","label":"copilot_for_business_link_enterprise_navbar"}" href="/features/copilot/copilot-business"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-copilot color-fg-subtle mr-3"> <path d="M23.922 16.992c-.861 1.495-5.859 5.023-11.922 5.023-6.063 0-11.061-3.528-11.922-5.023A.641.641 0 0 1 0 16.736v-2.869a.841.841 0 0 1 .053-.22c.372-.935 1.347-2.292 2.605-2.656.167-.429.414-1.055.644-1.517a10.195 10.195 0 0 1-.052-1.086c0-1.331.282-2.499 1.132-3.368.397-.406.89-.717 1.474-.952 1.399-1.136 3.392-2.093 6.122-2.093 2.731 0 4.767.957 6.166 2.093.584.235 1.077.546 1.474.952.85.869 1.132 2.037 1.132 3.368 0 .368-.014.733-.052 1.086.23.462.477 1.088.644 1.517 1.258.364 2.233 1.721 2.605 2.656a.832.832 0 0 1 .053.22v2.869a.641.641 0 0 1-.078.256ZM12.172 11h-.344a4.323 4.323 0 0 1-.355.508C10.703 12.455 9.555 13 7.965 13c-1.725 0-2.989-.359-3.782-1.259a2.005 2.005 0 0 1-.085-.104L4 11.741v6.585c1.435.779 4.514 2.179 8 2.179 3.486 0 6.565-1.4 8-2.179v-6.585l-.098-.104s-.033.045-.085.104c-.793.9-2.057 1.259-3.782 1.259-1.59 0-2.738-.545-3.508-1.492a4.323 4.323 0 0 1-.355-.508h-.016.016Zm.641-2.935c.136 1.057.403 1.913.878 2.497.442.544 1.134.938 2.344.938 1.573 0 2.292-.337 2.657-.751.384-.435.558-1.15.558-2.361 0-1.14-.243-1.847-.705-2.319-.477-.488-1.319-.862-2.824-1.025-1.487-.161-2.192.138-2.533.529-.269.307-.437.808-.438 1.578v.021c0 .265.021.562.063.893Zm-1.626 0c.042-.331.063-.628.063-.894v-.02c-.001-.77-.169-1.271-.438-1.578-.341-.391-1.046-.69-2.533-.529-1.505.163-2.347.537-2.824 1.025-.462.472-.705 1.179-.705 2.319 0 1.211.175 1.926.558 2.361.365.414 1.084.751 2.657.751 1.21 0 1.902-.394 2.344-.938.475-.584.742-1.44.878-2.497Z"></path><path d="M14.5 14.25a1 1 0 0 1 1 1v2a1 1 0 0 1-2 0v-2a1 1 0 0 1 1-1Zm-5 0a1 1 0 0 1 1 1v2a1 1 0 0 1-2 0v-2a1 1 0 0 1 1-1Z"></path> </svg> <div> <div class="color-fg-default h4">Copilot for business</div> Enterprise-grade AI features </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description" data-analytics-event="{"location":"navbar","action":"premium_support","context":"enterprise","tag":"link","label":"premium_support_link_enterprise_navbar"}" href="/premium-support"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-comment-discussion color-fg-subtle mr-3"> <path d="M1.75 1h12.5c.966 0 1.75.784 1.75 1.75v9.5A1.75 1.75 0 0 1 14.25 14H8.061l-2.574 2.573A1.458 1.458 0 0 1 3 15.543V14H1.75A1.75 1.75 0 0 1 0 12.25v-9.5C0 1.784.784 1 1.75 1ZM1.5 2.75v9.5c0 .138.112.25.25.25h2a.75.75 0 0 1 .75.75v2.19l2.72-2.72a.749.749 0 0 1 .53-.22h6.5a.25.25 0 0 0 .25-.25v-9.5a.25.25 0 0 0-.25-.25H1.75a.25.25 0 0 0-.25.25Z"></path><path d="M22.5 8.75a.25.25 0 0 0-.25-.25h-3.5a.75.75 0 0 1 0-1.5h3.5c.966 0 1.75.784 1.75 1.75v9.5A1.75 1.75 0 0 1 22.25 20H21v1.543a1.457 1.457 0 0 1-2.487 1.03L15.939 20H10.75A1.75 1.75 0 0 1 9 18.25v-1.465a.75.75 0 0 1 1.5 0v1.465c0 .138.112.25.25.25h5.5a.75.75 0 0 1 .53.22l2.72 2.72v-2.19a.75.75 0 0 1 .75-.75h2a.25.25 0 0 0 .25-.25v-9.5Z"></path> </svg> <div> <div class="color-fg-default h4">Premium Support</div> Enterprise-grade 24/7 support </div> </a></li> </ul> </div> </div> </div> </li> <li class="HeaderMenu-item position-relative flex-wrap flex-justify-between flex-items-center d-block d-lg-flex flex-lg-nowrap flex-lg-items-center js-details-container js-header-menu-item"> <a class="HeaderMenu-link no-underline px-0 px-lg-2 py-3 py-lg-2 d-block d-lg-inline-block" data-analytics-event="{"location":"navbar","action":"pricing","context":"global","tag":"link","label":"pricing_link_global_navbar"}" href="https://github.com/pricing">Pricing</a> </li> </ul> </nav> <div class="d-flex flex-column flex-lg-row width-full flex-justify-end flex-lg-items-center text-center mt-3 mt-lg-0 text-lg-left ml-lg-3"> <qbsearch-input class="search-input" data-scope="" data-custom-scopes-path="/search/custom_scopes" data-delete-custom-scopes-csrf="OB5-hWPmiNRdL0VIGmg94YSHYw9gYKedux3Rg3Ya1r4vgVtFpwQqu8e8Sfl7mWj1tKhZzo4weyY6AOBvPtmLyQ" data-max-custom-scopes="10" data-header-redesign-enabled="false" data-initial-value="" data-blackbird-suggestions-path="/search/suggestions" data-jump-to-suggestions-path="/_graphql/GetSuggestedNavigationDestinations" data-current-repository="" data-current-org="" data-current-owner="" data-logged-in="false" data-copilot-chat-enabled="false" data-nl-search-enabled="false" data-retain-scroll-position="true"> <div class="search-input-container search-with-dialog position-relative d-flex flex-row flex-items-center mr-4 rounded" data-action="click:qbsearch-input#searchInputContainerClicked" > <button type="button" class="header-search-button placeholder input-button form-control d-flex flex-1 flex-self-stretch flex-items-center no-wrap width-full py-0 pl-2 pr-0 text-left border-0 box-shadow-none" data-target="qbsearch-input.inputButton" aria-label="Search or jump to…" aria-haspopup="dialog" placeholder="Search or jump to..." data-hotkey=s,/ autocapitalize="off" data-analytics-event="{"location":"navbar","action":"searchbar","context":"global","tag":"input","label":"searchbar_input_global_navbar"}" data-action="click:qbsearch-input#handleExpand" > <div class="mr-2 color-fg-muted"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-search"> <path d="M10.68 11.74a6 6 0 0 1-7.922-8.982 6 6 0 0 1 8.982 7.922l3.04 3.04a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215ZM11.5 7a4.499 4.499 0 1 0-8.997 0A4.499 4.499 0 0 0 11.5 7Z"></path> </svg> </div> <span class="flex-1" data-target="qbsearch-input.inputButtonText">Search or jump to...</span> <div class="d-flex" data-target="qbsearch-input.hotkeyIndicator"> <svg xmlns="http://www.w3.org/2000/svg" width="22" height="20" aria-hidden="true" class="mr-1"><path fill="none" stroke="#979A9C" opacity=".4" d="M3.5.5h12c1.7 0 3 1.3 3 3v13c0 1.7-1.3 3-3 3h-12c-1.7 0-3-1.3-3-3v-13c0-1.7 1.3-3 3-3z"></path><path fill="#979A9C" d="M11.8 6L8 15.1h-.9L10.8 6h1z"></path></svg> </div> </button> <input type="hidden" name="type" class="js-site-search-type-field"> <div class="Overlay--hidden " data-modal-dialog-overlay> <modal-dialog data-action="close:qbsearch-input#handleClose cancel:qbsearch-input#handleClose" data-target="qbsearch-input.searchSuggestionsDialog" role="dialog" id="search-suggestions-dialog" aria-modal="true" aria-labelledby="search-suggestions-dialog-header" data-view-component="true" class="Overlay Overlay--width-large Overlay--height-auto"> <h1 id="search-suggestions-dialog-header" class="sr-only">Search code, repositories, users, issues, pull requests...</h1> <div class="Overlay-body Overlay-body--paddingNone"> <div data-view-component="true"> <div class="search-suggestions position-fixed width-full color-shadow-large border color-fg-default color-bg-default overflow-hidden d-flex flex-column query-builder-container" style="border-radius: 12px;" data-target="qbsearch-input.queryBuilderContainer" hidden > <!-- '"` --><!-- </textarea></xmp> --></option></form><form id="query-builder-test-form" action="" accept-charset="UTF-8" method="get"> <query-builder data-target="qbsearch-input.queryBuilder" id="query-builder-query-builder-test" data-filter-key=":" data-view-component="true" class="QueryBuilder search-query-builder"> <div class="FormControl FormControl--fullWidth"> <label id="query-builder-test-label" for="query-builder-test" class="FormControl-label sr-only"> Search </label> <div class="QueryBuilder-StyledInput width-fit " data-target="query-builder.styledInput" > <span id="query-builder-test-leadingvisual-wrap" class="FormControl-input-leadingVisualWrap QueryBuilder-leadingVisualWrap"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-search FormControl-input-leadingVisual"> <path d="M10.68 11.74a6 6 0 0 1-7.922-8.982 6 6 0 0 1 8.982 7.922l3.04 3.04a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215ZM11.5 7a4.499 4.499 0 1 0-8.997 0A4.499 4.499 0 0 0 11.5 7Z"></path> </svg> </span> <div data-target="query-builder.styledInputContainer" class="QueryBuilder-StyledInputContainer"> <div aria-hidden="true" class="QueryBuilder-StyledInputContent" data-target="query-builder.styledInputContent" ></div> <div class="QueryBuilder-InputWrapper"> <div aria-hidden="true" class="QueryBuilder-Sizer" data-target="query-builder.sizer"></div> <input id="query-builder-test" name="query-builder-test" value="" autocomplete="off" type="text" role="combobox" spellcheck="false" aria-expanded="false" aria-describedby="validation-c0bd56d6-b6f1-40a5-8999-73d12f616126" data-target="query-builder.input" data-action=" input:query-builder#inputChange blur:query-builder#inputBlur keydown:query-builder#inputKeydown focus:query-builder#inputFocus " data-view-component="true" class="FormControl-input QueryBuilder-Input FormControl-medium" /> </div> </div> <span class="sr-only" id="query-builder-test-clear">Clear</span> <button role="button" id="query-builder-test-clear-button" aria-labelledby="query-builder-test-clear query-builder-test-label" data-target="query-builder.clearButton" data-action=" click:query-builder#clear focus:query-builder#clearButtonFocus blur:query-builder#clearButtonBlur " variant="small" hidden="hidden" type="button" data-view-component="true" class="Button Button--iconOnly Button--invisible Button--medium mr-1 px-2 py-0 d-flex flex-items-center rounded-1 color-fg-muted"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-x-circle-fill Button-visual"> <path d="M2.343 13.657A8 8 0 1 1 13.658 2.343 8 8 0 0 1 2.343 13.657ZM6.03 4.97a.751.751 0 0 0-1.042.018.751.751 0 0 0-.018 1.042L6.94 8 4.97 9.97a.749.749 0 0 0 .326 1.275.749.749 0 0 0 .734-.215L8 9.06l1.97 1.97a.749.749 0 0 0 1.275-.326.749.749 0 0 0-.215-.734L9.06 8l1.97-1.97a.749.749 0 0 0-.326-1.275.749.749 0 0 0-.734.215L8 6.94Z"></path> </svg> </button> </div> <template id="search-icon"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-search"> <path d="M10.68 11.74a6 6 0 0 1-7.922-8.982 6 6 0 0 1 8.982 7.922l3.04 3.04a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215ZM11.5 7a4.499 4.499 0 1 0-8.997 0A4.499 4.499 0 0 0 11.5 7Z"></path> </svg> </template> <template id="code-icon"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-code"> <path d="m11.28 3.22 4.25 4.25a.75.75 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.275-.326.749.749 0 0 1 .215-.734L13.94 8l-3.72-3.72a.749.749 0 0 1 .326-1.275.749.749 0 0 1 .734.215Zm-6.56 0a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042L2.06 8l3.72 3.72a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L.47 8.53a.75.75 0 0 1 0-1.06Z"></path> </svg> </template> <template id="file-code-icon"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-file-code"> <path d="M4 1.75C4 .784 4.784 0 5.75 0h5.586c.464 0 .909.184 1.237.513l2.914 2.914c.329.328.513.773.513 1.237v8.586A1.75 1.75 0 0 1 14.25 15h-9a.75.75 0 0 1 0-1.5h9a.25.25 0 0 0 .25-.25V6h-2.75A1.75 1.75 0 0 1 10 4.25V1.5H5.75a.25.25 0 0 0-.25.25v2.5a.75.75 0 0 1-1.5 0Zm1.72 4.97a.75.75 0 0 1 1.06 0l2 2a.75.75 0 0 1 0 1.06l-2 2a.749.749 0 0 1-1.275-.326.749.749 0 0 1 .215-.734l1.47-1.47-1.47-1.47a.75.75 0 0 1 0-1.06ZM3.28 7.78 1.81 9.25l1.47 1.47a.751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018l-2-2a.75.75 0 0 1 0-1.06l2-2a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042Zm8.22-6.218V4.25c0 .138.112.25.25.25h2.688l-.011-.013-2.914-2.914-.013-.011Z"></path> </svg> </template> <template id="history-icon"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-history"> <path d="m.427 1.927 1.215 1.215a8.002 8.002 0 1 1-1.6 5.685.75.75 0 1 1 1.493-.154 6.5 6.5 0 1 0 1.18-4.458l1.358 1.358A.25.25 0 0 1 3.896 6H.25A.25.25 0 0 1 0 5.75V2.104a.25.25 0 0 1 .427-.177ZM7.75 4a.75.75 0 0 1 .75.75v2.992l2.028.812a.75.75 0 0 1-.557 1.392l-2.5-1A.751.751 0 0 1 7 8.25v-3.5A.75.75 0 0 1 7.75 4Z"></path> </svg> </template> <template id="repo-icon"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-repo"> <path d="M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z"></path> </svg> </template> <template id="bookmark-icon"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-bookmark"> <path d="M3 2.75C3 1.784 3.784 1 4.75 1h6.5c.966 0 1.75.784 1.75 1.75v11.5a.75.75 0 0 1-1.227.579L8 11.722l-3.773 3.107A.751.751 0 0 1 3 14.25Zm1.75-.25a.25.25 0 0 0-.25.25v9.91l3.023-2.489a.75.75 0 0 1 .954 0l3.023 2.49V2.75a.25.25 0 0 0-.25-.25Z"></path> </svg> </template> <template id="plus-circle-icon"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-plus-circle"> <path d="M8 0a8 8 0 1 1 0 16A8 8 0 0 1 8 0ZM1.5 8a6.5 6.5 0 1 0 13 0 6.5 6.5 0 0 0-13 0Zm7.25-3.25v2.5h2.5a.75.75 0 0 1 0 1.5h-2.5v2.5a.75.75 0 0 1-1.5 0v-2.5h-2.5a.75.75 0 0 1 0-1.5h2.5v-2.5a.75.75 0 0 1 1.5 0Z"></path> </svg> </template> <template id="circle-icon"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-dot-fill"> <path d="M8 4a4 4 0 1 1 0 8 4 4 0 0 1 0-8Z"></path> </svg> </template> <template id="trash-icon"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-trash"> <path d="M11 1.75V3h2.25a.75.75 0 0 1 0 1.5H2.75a.75.75 0 0 1 0-1.5H5V1.75C5 .784 5.784 0 6.75 0h2.5C10.216 0 11 .784 11 1.75ZM4.496 6.675l.66 6.6a.25.25 0 0 0 .249.225h5.19a.25.25 0 0 0 .249-.225l.66-6.6a.75.75 0 0 1 1.492.149l-.66 6.6A1.748 1.748 0 0 1 10.595 15h-5.19a1.75 1.75 0 0 1-1.741-1.575l-.66-6.6a.75.75 0 1 1 1.492-.15ZM6.5 1.75V3h3V1.75a.25.25 0 0 0-.25-.25h-2.5a.25.25 0 0 0-.25.25Z"></path> </svg> </template> <template id="team-icon"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-people"> <path d="M2 5.5a3.5 3.5 0 1 1 5.898 2.549 5.508 5.508 0 0 1 3.034 4.084.75.75 0 1 1-1.482.235 4 4 0 0 0-7.9 0 .75.75 0 0 1-1.482-.236A5.507 5.507 0 0 1 3.102 8.05 3.493 3.493 0 0 1 2 5.5ZM11 4a3.001 3.001 0 0 1 2.22 5.018 5.01 5.01 0 0 1 2.56 3.012.749.749 0 0 1-.885.954.752.752 0 0 1-.549-.514 3.507 3.507 0 0 0-2.522-2.372.75.75 0 0 1-.574-.73v-.352a.75.75 0 0 1 .416-.672A1.5 1.5 0 0 0 11 5.5.75.75 0 0 1 11 4Zm-5.5-.5a2 2 0 1 0-.001 3.999A2 2 0 0 0 5.5 3.5Z"></path> </svg> </template> <template id="project-icon"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-project"> <path d="M1.75 0h12.5C15.216 0 16 .784 16 1.75v12.5A1.75 1.75 0 0 1 14.25 16H1.75A1.75 1.75 0 0 1 0 14.25V1.75C0 .784.784 0 1.75 0ZM1.5 1.75v12.5c0 .138.112.25.25.25h12.5a.25.25 0 0 0 .25-.25V1.75a.25.25 0 0 0-.25-.25H1.75a.25.25 0 0 0-.25.25ZM11.75 3a.75.75 0 0 1 .75.75v7.5a.75.75 0 0 1-1.5 0v-7.5a.75.75 0 0 1 .75-.75Zm-8.25.75a.75.75 0 0 1 1.5 0v5.5a.75.75 0 0 1-1.5 0ZM8 3a.75.75 0 0 1 .75.75v3.5a.75.75 0 0 1-1.5 0v-3.5A.75.75 0 0 1 8 3Z"></path> </svg> </template> <template id="pencil-icon"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-pencil"> <path d="M11.013 1.427a1.75 1.75 0 0 1 2.474 0l1.086 1.086a1.75 1.75 0 0 1 0 2.474l-8.61 8.61c-.21.21-.47.364-.756.445l-3.251.93a.75.75 0 0 1-.927-.928l.929-3.25c.081-.286.235-.547.445-.758l8.61-8.61Zm.176 4.823L9.75 4.81l-6.286 6.287a.253.253 0 0 0-.064.108l-.558 1.953 1.953-.558a.253.253 0 0 0 .108-.064Zm1.238-3.763a.25.25 0 0 0-.354 0L10.811 3.75l1.439 1.44 1.263-1.263a.25.25 0 0 0 0-.354Z"></path> </svg> </template> <template id="copilot-icon"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-copilot"> <path d="M7.998 15.035c-4.562 0-7.873-2.914-7.998-3.749V9.338c.085-.628.677-1.686 1.588-2.065.013-.07.024-.143.036-.218.029-.183.06-.384.126-.612-.201-.508-.254-1.084-.254-1.656 0-.87.128-1.769.693-2.484.579-.733 1.494-1.124 2.724-1.261 1.206-.134 2.262.034 2.944.765.05.053.096.108.139.165.044-.057.094-.112.143-.165.682-.731 1.738-.899 2.944-.765 1.23.137 2.145.528 2.724 1.261.566.715.693 1.614.693 2.484 0 .572-.053 1.148-.254 1.656.066.228.098.429.126.612.012.076.024.148.037.218.924.385 1.522 1.471 1.591 2.095v1.872c0 .766-3.351 3.795-8.002 3.795Zm0-1.485c2.28 0 4.584-1.11 5.002-1.433V7.862l-.023-.116c-.49.21-1.075.291-1.727.291-1.146 0-2.059-.327-2.71-.991A3.222 3.222 0 0 1 8 6.303a3.24 3.24 0 0 1-.544.743c-.65.664-1.563.991-2.71.991-.652 0-1.236-.081-1.727-.291l-.023.116v4.255c.419.323 2.722 1.433 5.002 1.433ZM6.762 2.83c-.193-.206-.637-.413-1.682-.297-1.019.113-1.479.404-1.713.7-.247.312-.369.789-.369 1.554 0 .793.129 1.171.308 1.371.162.181.519.379 1.442.379.853 0 1.339-.235 1.638-.54.315-.322.527-.827.617-1.553.117-.935-.037-1.395-.241-1.614Zm4.155-.297c-1.044-.116-1.488.091-1.681.297-.204.219-.359.679-.242 1.614.091.726.303 1.231.618 1.553.299.305.784.54 1.638.54.922 0 1.28-.198 1.442-.379.179-.2.308-.578.308-1.371 0-.765-.123-1.242-.37-1.554-.233-.296-.693-.587-1.713-.7Z"></path><path d="M6.25 9.037a.75.75 0 0 1 .75.75v1.501a.75.75 0 0 1-1.5 0V9.787a.75.75 0 0 1 .75-.75Zm4.25.75v1.501a.75.75 0 0 1-1.5 0V9.787a.75.75 0 0 1 1.5 0Z"></path> </svg> </template> <template id="copilot-error-icon"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-copilot-error"> <path d="M16 11.24c0 .112-.072.274-.21.467L13 9.688V7.862l-.023-.116c-.49.21-1.075.291-1.727.291-.198 0-.388-.009-.571-.029L6.833 5.226a4.01 4.01 0 0 0 .17-.782c.117-.935-.037-1.395-.241-1.614-.193-.206-.637-.413-1.682-.297-.683.076-1.115.231-1.395.415l-1.257-.91c.579-.564 1.413-.877 2.485-.996 1.206-.134 2.262.034 2.944.765.05.053.096.108.139.165.044-.057.094-.112.143-.165.682-.731 1.738-.899 2.944-.765 1.23.137 2.145.528 2.724 1.261.566.715.693 1.614.693 2.484 0 .572-.053 1.148-.254 1.656.066.228.098.429.126.612.012.076.024.148.037.218.924.385 1.522 1.471 1.591 2.095Zm-5.083-8.707c-1.044-.116-1.488.091-1.681.297-.204.219-.359.679-.242 1.614.091.726.303 1.231.618 1.553.299.305.784.54 1.638.54.922 0 1.28-.198 1.442-.379.179-.2.308-.578.308-1.371 0-.765-.123-1.242-.37-1.554-.233-.296-.693-.587-1.713-.7Zm2.511 11.074c-1.393.776-3.272 1.428-5.43 1.428-4.562 0-7.873-2.914-7.998-3.749V9.338c.085-.628.677-1.686 1.588-2.065.013-.07.024-.143.036-.218.029-.183.06-.384.126-.612-.18-.455-.241-.963-.252-1.475L.31 4.107A.747.747 0 0 1 0 3.509V3.49a.748.748 0 0 1 .625-.73c.156-.026.306.047.435.139l14.667 10.578a.592.592 0 0 1 .227.264.752.752 0 0 1 .046.249v.022a.75.75 0 0 1-1.19.596Zm-1.367-.991L5.635 7.964a5.128 5.128 0 0 1-.889.073c-.652 0-1.236-.081-1.727-.291l-.023.116v4.255c.419.323 2.722 1.433 5.002 1.433 1.539 0 3.089-.505 4.063-.934Z"></path> </svg> </template> <template id="workflow-icon"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-workflow"> <path d="M0 1.75C0 .784.784 0 1.75 0h3.5C6.216 0 7 .784 7 1.75v3.5A1.75 1.75 0 0 1 5.25 7H4v4a1 1 0 0 0 1 1h4v-1.25C9 9.784 9.784 9 10.75 9h3.5c.966 0 1.75.784 1.75 1.75v3.5A1.75 1.75 0 0 1 14.25 16h-3.5A1.75 1.75 0 0 1 9 14.25v-.75H5A2.5 2.5 0 0 1 2.5 11V7h-.75A1.75 1.75 0 0 1 0 5.25Zm1.75-.25a.25.25 0 0 0-.25.25v3.5c0 .138.112.25.25.25h3.5a.25.25 0 0 0 .25-.25v-3.5a.25.25 0 0 0-.25-.25Zm9 9a.25.25 0 0 0-.25.25v3.5c0 .138.112.25.25.25h3.5a.25.25 0 0 0 .25-.25v-3.5a.25.25 0 0 0-.25-.25Z"></path> </svg> </template> <template id="book-icon"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-book"> <path d="M0 1.75A.75.75 0 0 1 .75 1h4.253c1.227 0 2.317.59 3 1.501A3.743 3.743 0 0 1 11.006 1h4.245a.75.75 0 0 1 .75.75v10.5a.75.75 0 0 1-.75.75h-4.507a2.25 2.25 0 0 0-1.591.659l-.622.621a.75.75 0 0 1-1.06 0l-.622-.621A2.25 2.25 0 0 0 5.258 13H.75a.75.75 0 0 1-.75-.75Zm7.251 10.324.004-5.073-.002-2.253A2.25 2.25 0 0 0 5.003 2.5H1.5v9h3.757a3.75 3.75 0 0 1 1.994.574ZM8.755 4.75l-.004 7.322a3.752 3.752 0 0 1 1.992-.572H14.5v-9h-3.495a2.25 2.25 0 0 0-2.25 2.25Z"></path> </svg> </template> <template id="code-review-icon"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-code-review"> <path d="M1.75 1h12.5c.966 0 1.75.784 1.75 1.75v8.5A1.75 1.75 0 0 1 14.25 13H8.061l-2.574 2.573A1.458 1.458 0 0 1 3 14.543V13H1.75A1.75 1.75 0 0 1 0 11.25v-8.5C0 1.784.784 1 1.75 1ZM1.5 2.75v8.5c0 .138.112.25.25.25h2a.75.75 0 0 1 .75.75v2.19l2.72-2.72a.749.749 0 0 1 .53-.22h6.5a.25.25 0 0 0 .25-.25v-8.5a.25.25 0 0 0-.25-.25H1.75a.25.25 0 0 0-.25.25Zm5.28 1.72a.75.75 0 0 1 0 1.06L5.31 7l1.47 1.47a.751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018l-2-2a.75.75 0 0 1 0-1.06l2-2a.75.75 0 0 1 1.06 0Zm2.44 0a.75.75 0 0 1 1.06 0l2 2a.75.75 0 0 1 0 1.06l-2 2a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L10.69 7 9.22 5.53a.75.75 0 0 1 0-1.06Z"></path> </svg> </template> <template id="codespaces-icon"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-codespaces"> <path d="M0 11.25c0-.966.784-1.75 1.75-1.75h12.5c.966 0 1.75.784 1.75 1.75v3A1.75 1.75 0 0 1 14.25 16H1.75A1.75 1.75 0 0 1 0 14.25Zm2-9.5C2 .784 2.784 0 3.75 0h8.5C13.216 0 14 .784 14 1.75v5a1.75 1.75 0 0 1-1.75 1.75h-8.5A1.75 1.75 0 0 1 2 6.75Zm1.75-.25a.25.25 0 0 0-.25.25v5c0 .138.112.25.25.25h8.5a.25.25 0 0 0 .25-.25v-5a.25.25 0 0 0-.25-.25Zm-2 9.5a.25.25 0 0 0-.25.25v3c0 .138.112.25.25.25h12.5a.25.25 0 0 0 .25-.25v-3a.25.25 0 0 0-.25-.25Z"></path><path d="M7 12.75a.75.75 0 0 1 .75-.75h4.5a.75.75 0 0 1 0 1.5h-4.5a.75.75 0 0 1-.75-.75Zm-4 0a.75.75 0 0 1 .75-.75h.5a.75.75 0 0 1 0 1.5h-.5a.75.75 0 0 1-.75-.75Z"></path> </svg> </template> <template id="comment-icon"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-comment"> <path d="M1 2.75C1 1.784 1.784 1 2.75 1h10.5c.966 0 1.75.784 1.75 1.75v7.5A1.75 1.75 0 0 1 13.25 12H9.06l-2.573 2.573A1.458 1.458 0 0 1 4 13.543V12H2.75A1.75 1.75 0 0 1 1 10.25Zm1.75-.25a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h2a.75.75 0 0 1 .75.75v2.19l2.72-2.72a.749.749 0 0 1 .53-.22h4.5a.25.25 0 0 0 .25-.25v-7.5a.25.25 0 0 0-.25-.25Z"></path> </svg> </template> <template id="comment-discussion-icon"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-comment-discussion"> <path d="M1.75 1h8.5c.966 0 1.75.784 1.75 1.75v5.5A1.75 1.75 0 0 1 10.25 10H7.061l-2.574 2.573A1.458 1.458 0 0 1 2 11.543V10h-.25A1.75 1.75 0 0 1 0 8.25v-5.5C0 1.784.784 1 1.75 1ZM1.5 2.75v5.5c0 .138.112.25.25.25h1a.75.75 0 0 1 .75.75v2.19l2.72-2.72a.749.749 0 0 1 .53-.22h3.5a.25.25 0 0 0 .25-.25v-5.5a.25.25 0 0 0-.25-.25h-8.5a.25.25 0 0 0-.25.25Zm13 2a.25.25 0 0 0-.25-.25h-.5a.75.75 0 0 1 0-1.5h.5c.966 0 1.75.784 1.75 1.75v5.5A1.75 1.75 0 0 1 14.25 12H14v1.543a1.458 1.458 0 0 1-2.487 1.03L9.22 12.28a.749.749 0 0 1 .326-1.275.749.749 0 0 1 .734.215l2.22 2.22v-2.19a.75.75 0 0 1 .75-.75h1a.25.25 0 0 0 .25-.25Z"></path> </svg> </template> <template id="organization-icon"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-organization"> <path d="M1.75 16A1.75 1.75 0 0 1 0 14.25V1.75C0 .784.784 0 1.75 0h8.5C11.216 0 12 .784 12 1.75v12.5c0 .085-.006.168-.018.25h2.268a.25.25 0 0 0 .25-.25V8.285a.25.25 0 0 0-.111-.208l-1.055-.703a.749.749 0 1 1 .832-1.248l1.055.703c.487.325.779.871.779 1.456v5.965A1.75 1.75 0 0 1 14.25 16h-3.5a.766.766 0 0 1-.197-.026c-.099.017-.2.026-.303.026h-3a.75.75 0 0 1-.75-.75V14h-1v1.25a.75.75 0 0 1-.75.75Zm-.25-1.75c0 .138.112.25.25.25H4v-1.25a.75.75 0 0 1 .75-.75h2.5a.75.75 0 0 1 .75.75v1.25h2.25a.25.25 0 0 0 .25-.25V1.75a.25.25 0 0 0-.25-.25h-8.5a.25.25 0 0 0-.25.25ZM3.75 6h.5a.75.75 0 0 1 0 1.5h-.5a.75.75 0 0 1 0-1.5ZM3 3.75A.75.75 0 0 1 3.75 3h.5a.75.75 0 0 1 0 1.5h-.5A.75.75 0 0 1 3 3.75Zm4 3A.75.75 0 0 1 7.75 6h.5a.75.75 0 0 1 0 1.5h-.5A.75.75 0 0 1 7 6.75ZM7.75 3h.5a.75.75 0 0 1 0 1.5h-.5a.75.75 0 0 1 0-1.5ZM3 9.75A.75.75 0 0 1 3.75 9h.5a.75.75 0 0 1 0 1.5h-.5A.75.75 0 0 1 3 9.75ZM7.75 9h.5a.75.75 0 0 1 0 1.5h-.5a.75.75 0 0 1 0-1.5Z"></path> </svg> </template> <template id="rocket-icon"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-rocket"> <path d="M14.064 0h.186C15.216 0 16 .784 16 1.75v.186a8.752 8.752 0 0 1-2.564 6.186l-.458.459c-.314.314-.641.616-.979.904v3.207c0 .608-.315 1.172-.833 1.49l-2.774 1.707a.749.749 0 0 1-1.11-.418l-.954-3.102a1.214 1.214 0 0 1-.145-.125L3.754 9.816a1.218 1.218 0 0 1-.124-.145L.528 8.717a.749.749 0 0 1-.418-1.11l1.71-2.774A1.748 1.748 0 0 1 3.31 4h3.204c.288-.338.59-.665.904-.979l.459-.458A8.749 8.749 0 0 1 14.064 0ZM8.938 3.623h-.002l-.458.458c-.76.76-1.437 1.598-2.02 2.5l-1.5 2.317 2.143 2.143 2.317-1.5c.902-.583 1.74-1.26 2.499-2.02l.459-.458a7.25 7.25 0 0 0 2.123-5.127V1.75a.25.25 0 0 0-.25-.25h-.186a7.249 7.249 0 0 0-5.125 2.123ZM3.56 14.56c-.732.732-2.334 1.045-3.005 1.148a.234.234 0 0 1-.201-.064.234.234 0 0 1-.064-.201c.103-.671.416-2.273 1.15-3.003a1.502 1.502 0 1 1 2.12 2.12Zm6.94-3.935c-.088.06-.177.118-.266.175l-2.35 1.521.548 1.783 1.949-1.2a.25.25 0 0 0 .119-.213ZM3.678 8.116 5.2 5.766c.058-.09.117-.178.176-.266H3.309a.25.25 0 0 0-.213.119l-1.2 1.95ZM12 5a1 1 0 1 1-2 0 1 1 0 0 1 2 0Z"></path> </svg> </template> <template id="shield-check-icon"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-shield-check"> <path d="m8.533.133 5.25 1.68A1.75 1.75 0 0 1 15 3.48V7c0 1.566-.32 3.182-1.303 4.682-.983 1.498-2.585 2.813-5.032 3.855a1.697 1.697 0 0 1-1.33 0c-2.447-1.042-4.049-2.357-5.032-3.855C1.32 10.182 1 8.566 1 7V3.48a1.75 1.75 0 0 1 1.217-1.667l5.25-1.68a1.748 1.748 0 0 1 1.066 0Zm-.61 1.429.001.001-5.25 1.68a.251.251 0 0 0-.174.237V7c0 1.36.275 2.666 1.057 3.859.784 1.194 2.121 2.342 4.366 3.298a.196.196 0 0 0 .154 0c2.245-.957 3.582-2.103 4.366-3.297C13.225 9.666 13.5 8.358 13.5 7V3.48a.25.25 0 0 0-.174-.238l-5.25-1.68a.25.25 0 0 0-.153 0ZM11.28 6.28l-3.5 3.5a.75.75 0 0 1-1.06 0l-1.5-1.5a.749.749 0 0 1 .326-1.275.749.749 0 0 1 .734.215l.97.97 2.97-2.97a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042Z"></path> </svg> </template> <template id="heart-icon"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-heart"> <path d="m8 14.25.345.666a.75.75 0 0 1-.69 0l-.008-.004-.018-.01a7.152 7.152 0 0 1-.31-.17 22.055 22.055 0 0 1-3.434-2.414C2.045 10.731 0 8.35 0 5.5 0 2.836 2.086 1 4.25 1 5.797 1 7.153 1.802 8 3.02 8.847 1.802 10.203 1 11.75 1 13.914 1 16 2.836 16 5.5c0 2.85-2.045 5.231-3.885 6.818a22.066 22.066 0 0 1-3.744 2.584l-.018.01-.006.003h-.002ZM4.25 2.5c-1.336 0-2.75 1.164-2.75 3 0 2.15 1.58 4.144 3.365 5.682A20.58 20.58 0 0 0 8 13.393a20.58 20.58 0 0 0 3.135-2.211C12.92 9.644 14.5 7.65 14.5 5.5c0-1.836-1.414-3-2.75-3-1.373 0-2.609.986-3.029 2.456a.749.749 0 0 1-1.442 0C6.859 3.486 5.623 2.5 4.25 2.5Z"></path> </svg> </template> <template id="server-icon"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-server"> <path d="M1.75 1h12.5c.966 0 1.75.784 1.75 1.75v4c0 .372-.116.717-.314 1 .198.283.314.628.314 1v4a1.75 1.75 0 0 1-1.75 1.75H1.75A1.75 1.75 0 0 1 0 12.75v-4c0-.358.109-.707.314-1a1.739 1.739 0 0 1-.314-1v-4C0 1.784.784 1 1.75 1ZM1.5 2.75v4c0 .138.112.25.25.25h12.5a.25.25 0 0 0 .25-.25v-4a.25.25 0 0 0-.25-.25H1.75a.25.25 0 0 0-.25.25Zm.25 5.75a.25.25 0 0 0-.25.25v4c0 .138.112.25.25.25h12.5a.25.25 0 0 0 .25-.25v-4a.25.25 0 0 0-.25-.25ZM7 4.75A.75.75 0 0 1 7.75 4h4.5a.75.75 0 0 1 0 1.5h-4.5A.75.75 0 0 1 7 4.75ZM7.75 10h4.5a.75.75 0 0 1 0 1.5h-4.5a.75.75 0 0 1 0-1.5ZM3 4.75A.75.75 0 0 1 3.75 4h.5a.75.75 0 0 1 0 1.5h-.5A.75.75 0 0 1 3 4.75ZM3.75 10h.5a.75.75 0 0 1 0 1.5h-.5a.75.75 0 0 1 0-1.5Z"></path> </svg> </template> <template id="globe-icon"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-globe"> <path d="M8 0a8 8 0 1 1 0 16A8 8 0 0 1 8 0ZM5.78 8.75a9.64 9.64 0 0 0 1.363 4.177c.255.426.542.832.857 1.215.245-.296.551-.705.857-1.215A9.64 9.64 0 0 0 10.22 8.75Zm4.44-1.5a9.64 9.64 0 0 0-1.363-4.177c-.307-.51-.612-.919-.857-1.215a9.927 9.927 0 0 0-.857 1.215A9.64 9.64 0 0 0 5.78 7.25Zm-5.944 1.5H1.543a6.507 6.507 0 0 0 4.666 5.5c-.123-.181-.24-.365-.352-.552-.715-1.192-1.437-2.874-1.581-4.948Zm-2.733-1.5h2.733c.144-2.074.866-3.756 1.58-4.948.12-.197.237-.381.353-.552a6.507 6.507 0 0 0-4.666 5.5Zm10.181 1.5c-.144 2.074-.866 3.756-1.58 4.948-.12.197-.237.381-.353.552a6.507 6.507 0 0 0 4.666-5.5Zm2.733-1.5a6.507 6.507 0 0 0-4.666-5.5c.123.181.24.365.353.552.714 1.192 1.436 2.874 1.58 4.948Z"></path> </svg> </template> <template id="issue-opened-icon"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-issue-opened"> <path d="M8 9.5a1.5 1.5 0 1 0 0-3 1.5 1.5 0 0 0 0 3Z"></path><path d="M8 0a8 8 0 1 1 0 16A8 8 0 0 1 8 0ZM1.5 8a6.5 6.5 0 1 0 13 0 6.5 6.5 0 0 0-13 0Z"></path> </svg> </template> <template id="device-mobile-icon"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-device-mobile"> <path d="M3.75 0h8.5C13.216 0 14 .784 14 1.75v12.5A1.75 1.75 0 0 1 12.25 16h-8.5A1.75 1.75 0 0 1 2 14.25V1.75C2 .784 2.784 0 3.75 0ZM3.5 1.75v12.5c0 .138.112.25.25.25h8.5a.25.25 0 0 0 .25-.25V1.75a.25.25 0 0 0-.25-.25h-8.5a.25.25 0 0 0-.25.25ZM8 13a1 1 0 1 1 0-2 1 1 0 0 1 0 2Z"></path> </svg> </template> <template id="package-icon"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-package"> <path d="m8.878.392 5.25 3.045c.54.314.872.89.872 1.514v6.098a1.75 1.75 0 0 1-.872 1.514l-5.25 3.045a1.75 1.75 0 0 1-1.756 0l-5.25-3.045A1.75 1.75 0 0 1 1 11.049V4.951c0-.624.332-1.201.872-1.514L7.122.392a1.75 1.75 0 0 1 1.756 0ZM7.875 1.69l-4.63 2.685L8 7.133l4.755-2.758-4.63-2.685a.248.248 0 0 0-.25 0ZM2.5 5.677v5.372c0 .09.047.171.125.216l4.625 2.683V8.432Zm6.25 8.271 4.625-2.683a.25.25 0 0 0 .125-.216V5.677L8.75 8.432Z"></path> </svg> </template> <template id="credit-card-icon"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-credit-card"> <path d="M10.75 9a.75.75 0 0 0 0 1.5h1.5a.75.75 0 0 0 0-1.5h-1.5Z"></path><path d="M0 3.75C0 2.784.784 2 1.75 2h12.5c.966 0 1.75.784 1.75 1.75v8.5A1.75 1.75 0 0 1 14.25 14H1.75A1.75 1.75 0 0 1 0 12.25ZM14.5 6.5h-13v5.75c0 .138.112.25.25.25h12.5a.25.25 0 0 0 .25-.25Zm0-2.75a.25.25 0 0 0-.25-.25H1.75a.25.25 0 0 0-.25.25V5h13Z"></path> </svg> </template> <template id="play-icon"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-play"> <path d="M8 0a8 8 0 1 1 0 16A8 8 0 0 1 8 0ZM1.5 8a6.5 6.5 0 1 0 13 0 6.5 6.5 0 0 0-13 0Zm4.879-2.773 4.264 2.559a.25.25 0 0 1 0 .428l-4.264 2.559A.25.25 0 0 1 6 10.559V5.442a.25.25 0 0 1 .379-.215Z"></path> </svg> </template> <template id="gift-icon"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-gift"> <path d="M2 2.75A2.75 2.75 0 0 1 4.75 0c.983 0 1.873.42 2.57 1.232.268.318.497.668.68 1.042.183-.375.411-.725.68-1.044C9.376.42 10.266 0 11.25 0a2.75 2.75 0 0 1 2.45 4h.55c.966 0 1.75.784 1.75 1.75v2c0 .698-.409 1.301-1 1.582v4.918A1.75 1.75 0 0 1 13.25 16H2.75A1.75 1.75 0 0 1 1 14.25V9.332C.409 9.05 0 8.448 0 7.75v-2C0 4.784.784 4 1.75 4h.55c-.192-.375-.3-.8-.3-1.25ZM7.25 9.5H2.5v4.75c0 .138.112.25.25.25h4.5Zm1.5 0v5h4.5a.25.25 0 0 0 .25-.25V9.5Zm0-4V8h5.5a.25.25 0 0 0 .25-.25v-2a.25.25 0 0 0-.25-.25Zm-7 0a.25.25 0 0 0-.25.25v2c0 .138.112.25.25.25h5.5V5.5h-5.5Zm3-4a1.25 1.25 0 0 0 0 2.5h2.309c-.233-.818-.542-1.401-.878-1.793-.43-.502-.915-.707-1.431-.707ZM8.941 4h2.309a1.25 1.25 0 0 0 0-2.5c-.516 0-1 .205-1.43.707-.337.392-.646.975-.879 1.793Z"></path> </svg> </template> <template id="code-square-icon"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-code-square"> <path d="M0 1.75C0 .784.784 0 1.75 0h12.5C15.216 0 16 .784 16 1.75v12.5A1.75 1.75 0 0 1 14.25 16H1.75A1.75 1.75 0 0 1 0 14.25Zm1.75-.25a.25.25 0 0 0-.25.25v12.5c0 .138.112.25.25.25h12.5a.25.25 0 0 0 .25-.25V1.75a.25.25 0 0 0-.25-.25Zm7.47 3.97a.75.75 0 0 1 1.06 0l2 2a.75.75 0 0 1 0 1.06l-2 2a.749.749 0 0 1-1.275-.326.749.749 0 0 1 .215-.734L10.69 8 9.22 6.53a.75.75 0 0 1 0-1.06ZM6.78 6.53 5.31 8l1.47 1.47a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215l-2-2a.75.75 0 0 1 0-1.06l2-2a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042Z"></path> </svg> </template> <template id="device-desktop-icon"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-device-desktop"> <path d="M14.25 1c.966 0 1.75.784 1.75 1.75v7.5A1.75 1.75 0 0 1 14.25 12h-3.727c.099 1.041.52 1.872 1.292 2.757A.752.752 0 0 1 11.25 16h-6.5a.75.75 0 0 1-.565-1.243c.772-.885 1.192-1.716 1.292-2.757H1.75A1.75 1.75 0 0 1 0 10.25v-7.5C0 1.784.784 1 1.75 1ZM1.75 2.5a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h12.5a.25.25 0 0 0 .25-.25v-7.5a.25.25 0 0 0-.25-.25ZM9.018 12H6.982a5.72 5.72 0 0 1-.765 2.5h3.566a5.72 5.72 0 0 1-.765-2.5Z"></path> </svg> </template> <div class="position-relative"> <ul role="listbox" class="ActionListWrap QueryBuilder-ListWrap" aria-label="Suggestions" data-action=" combobox-commit:query-builder#comboboxCommit mousedown:query-builder#resultsMousedown " data-target="query-builder.resultsList" data-persist-list=false id="query-builder-test-results" ></ul> </div> <div class="FormControl-inlineValidation" id="validation-c0bd56d6-b6f1-40a5-8999-73d12f616126" hidden="hidden"> <span class="FormControl-inlineValidation--visual"> <svg aria-hidden="true" height="12" viewBox="0 0 12 12" version="1.1" width="12" data-view-component="true" class="octicon octicon-alert-fill"> <path d="M4.855.708c.5-.896 1.79-.896 2.29 0l4.675 8.351a1.312 1.312 0 0 1-1.146 1.954H1.33A1.313 1.313 0 0 1 .183 9.058ZM7 7V3H5v4Zm-1 3a1 1 0 1 0 0-2 1 1 0 0 0 0 2Z"></path> </svg> </span> <span></span> </div> </div> <div data-target="query-builder.screenReaderFeedback" aria-live="polite" aria-atomic="true" class="sr-only"></div> </query-builder></form> <div class="d-flex flex-row color-fg-muted px-3 text-small color-bg-default search-feedback-prompt"> <a target="_blank" href="https://docs.github.com/search-github/github-code-search/understanding-github-code-search-syntax" data-view-component="true" class="Link color-fg-accent text-normal ml-2">Search syntax tips</a> <div class="d-flex flex-1"></div> </div> </div> </div> </div> </modal-dialog></div> </div> <div data-action="click:qbsearch-input#retract" class="dark-backdrop position-fixed" hidden data-target="qbsearch-input.darkBackdrop"></div> <div class="color-fg-default"> <dialog-helper> <dialog data-target="qbsearch-input.feedbackDialog" data-action="close:qbsearch-input#handleDialogClose cancel:qbsearch-input#handleDialogClose" id="feedback-dialog" aria-modal="true" aria-labelledby="feedback-dialog-title" aria-describedby="feedback-dialog-description" data-view-component="true" class="Overlay Overlay-whenNarrow Overlay--size-medium Overlay--motion-scaleFade Overlay--disableScroll"> <div data-view-component="true" class="Overlay-header"> <div class="Overlay-headerContentWrap"> <div class="Overlay-titleWrap"> <h1 class="Overlay-title " id="feedback-dialog-title"> Provide feedback </h1> </div> <div class="Overlay-actionWrap"> <button data-close-dialog-id="feedback-dialog" aria-label="Close" type="button" data-view-component="true" class="close-button Overlay-closeButton"><svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-x"> <path d="M3.72 3.72a.75.75 0 0 1 1.06 0L8 6.94l3.22-3.22a.749.749 0 0 1 1.275.326.749.749 0 0 1-.215.734L9.06 8l3.22 3.22a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L8 9.06l-3.22 3.22a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L6.94 8 3.72 4.78a.75.75 0 0 1 0-1.06Z"></path> </svg></button> </div> </div> </div> <scrollable-region data-labelled-by="feedback-dialog-title"> <div data-view-component="true" class="Overlay-body"> <!-- '"` --><!-- </textarea></xmp> --></option></form><form id="code-search-feedback-form" data-turbo="false" action="/search/feedback" accept-charset="UTF-8" method="post"><input type="hidden" data-csrf="true" name="authenticity_token" value="PsM0s6Ky9d8ZDTx9KzX3K7CD12eEzOlR2CL3arniPj7QPXBfMwS8/UdXk3omaIp2OS8agKDp1n8enhqqfUEyPQ==" /> <p>We read every piece of feedback, and take your input very seriously.</p> <textarea name="feedback" class="form-control width-full mb-2" style="height: 120px" id="feedback"></textarea> <input name="include_email" id="include_email" aria-label="Include my email address so I can be contacted" class="form-control mr-2" type="checkbox"> <label for="include_email" style="font-weight: normal">Include my email address so I can be contacted</label> </form></div> </scrollable-region> <div data-view-component="true" class="Overlay-footer Overlay-footer--alignEnd"> <button data-close-dialog-id="feedback-dialog" type="button" data-view-component="true" class="btn"> Cancel </button> <button form="code-search-feedback-form" data-action="click:qbsearch-input#submitFeedback" type="submit" data-view-component="true" class="btn-primary btn"> Submit feedback </button> </div> </dialog></dialog-helper> <custom-scopes data-target="qbsearch-input.customScopesManager"> <dialog-helper> <dialog data-target="custom-scopes.customScopesModalDialog" data-action="close:qbsearch-input#handleDialogClose cancel:qbsearch-input#handleDialogClose" id="custom-scopes-dialog" aria-modal="true" aria-labelledby="custom-scopes-dialog-title" aria-describedby="custom-scopes-dialog-description" data-view-component="true" class="Overlay Overlay-whenNarrow Overlay--size-medium Overlay--motion-scaleFade Overlay--disableScroll"> <div data-view-component="true" class="Overlay-header Overlay-header--divided"> <div class="Overlay-headerContentWrap"> <div class="Overlay-titleWrap"> <h1 class="Overlay-title " id="custom-scopes-dialog-title"> Saved searches </h1> <h2 id="custom-scopes-dialog-description" class="Overlay-description">Use saved searches to filter your results more quickly</h2> </div> <div class="Overlay-actionWrap"> <button data-close-dialog-id="custom-scopes-dialog" aria-label="Close" type="button" data-view-component="true" class="close-button Overlay-closeButton"><svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-x"> <path d="M3.72 3.72a.75.75 0 0 1 1.06 0L8 6.94l3.22-3.22a.749.749 0 0 1 1.275.326.749.749 0 0 1-.215.734L9.06 8l3.22 3.22a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L8 9.06l-3.22 3.22a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L6.94 8 3.72 4.78a.75.75 0 0 1 0-1.06Z"></path> </svg></button> </div> </div> </div> <scrollable-region data-labelled-by="custom-scopes-dialog-title"> <div data-view-component="true" class="Overlay-body"> <div data-target="custom-scopes.customScopesModalDialogFlash"></div> <div hidden class="create-custom-scope-form" data-target="custom-scopes.createCustomScopeForm"> <!-- '"` --><!-- </textarea></xmp> --></option></form><form id="custom-scopes-dialog-form" data-turbo="false" action="/search/custom_scopes" accept-charset="UTF-8" method="post"><input type="hidden" data-csrf="true" name="authenticity_token" value="+VYPGizA5UrcoYYSUH8Lurg2C6SnDdSGtGvaNP0uw6SzTRuSisfPUd326XNbKH2GDsUpcz55maOS7dXnBSyvvg==" /> <div data-target="custom-scopes.customScopesModalDialogFlash"></div> <input type="hidden" id="custom_scope_id" name="custom_scope_id" data-target="custom-scopes.customScopesIdField"> <div class="form-group"> <label for="custom_scope_name">Name</label> <auto-check src="/search/custom_scopes/check_name" required only-validate-on-blur="false"> <input type="text" name="custom_scope_name" id="custom_scope_name" data-target="custom-scopes.customScopesNameField" class="form-control" autocomplete="off" placeholder="github-ruby" required maxlength="50"> <input type="hidden" data-csrf="true" value="ydB74yFVf/pv+e+rsJTTFag3IX997d4SyswHyhdA4QuQFuHpQQ5IjVGIRfr+KCflTPdtQqFTIfDi45a3SUjZXA==" /> </auto-check> </div> <div class="form-group"> <label for="custom_scope_query">Query</label> <input type="text" name="custom_scope_query" id="custom_scope_query" data-target="custom-scopes.customScopesQueryField" class="form-control" autocomplete="off" placeholder="(repo:mona/a OR repo:mona/b) AND lang:python" required maxlength="500"> </div> <p class="text-small color-fg-muted"> To see all available qualifiers, see our <a class="Link--inTextBlock" href="https://docs.github.com/search-github/github-code-search/understanding-github-code-search-syntax">documentation</a>. </p> </form> </div> <div data-target="custom-scopes.manageCustomScopesForm"> <div data-target="custom-scopes.list"></div> </div> </div> </scrollable-region> <div data-view-component="true" class="Overlay-footer Overlay-footer--alignEnd Overlay-footer--divided"> <button data-action="click:custom-scopes#customScopesCancel" type="button" data-view-component="true" class="btn"> Cancel </button> <button form="custom-scopes-dialog-form" data-action="click:custom-scopes#customScopesSubmit" data-target="custom-scopes.customScopesSubmitButton" type="submit" data-view-component="true" class="btn-primary btn"> Create saved search </button> </div> </dialog></dialog-helper> </custom-scopes> </div> </qbsearch-input> <div class="position-relative HeaderMenu-link-wrap d-lg-inline-block"> <a href="/login?return_to=https%3A%2F%2Fgithub.com%2Ftopics%2Fdeep-reinforcement-learning" class="HeaderMenu-link HeaderMenu-link--sign-in HeaderMenu-button flex-shrink-0 no-underline d-none d-lg-inline-flex border border-lg-0 rounded rounded-lg-0 px-2 py-1" style="margin-left: 12px;" data-hydro-click="{"event_type":"authentication.click","payload":{"location_in_page":"site header menu","repository_id":null,"auth_type":"SIGN_UP","originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="41b7bc0390307ea0aed99c1fe57e977ebb50cc96a267cc5931f140ce8b820f33" data-analytics-event="{"category":"Marketing nav","action":"click to go to homepage","label":"ref_page:Marketing;ref_cta:Sign in;ref_loc:Header"}" > Sign in </a> </div> <a href="/signup?ref_cta=Sign+up&ref_loc=header+logged+out&ref_page=%2Ftopics%2Fdeep-reinforcement-learning&source=header" class="HeaderMenu-link HeaderMenu-link--sign-up HeaderMenu-button flex-shrink-0 d-flex d-lg-inline-flex no-underline border color-border-default rounded px-2 py-1" data-hydro-click="{"event_type":"authentication.click","payload":{"location_in_page":"site header menu","repository_id":null,"auth_type":"SIGN_UP","originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="41b7bc0390307ea0aed99c1fe57e977ebb50cc96a267cc5931f140ce8b820f33" data-analytics-event="{"category":"Sign up","action":"click to sign up for account","label":"ref_page:/topics/deep-reinforcement-learning;ref_cta:Sign up;ref_loc:header logged out"}" > Sign up </a> <button type="button" class="sr-only js-header-menu-focus-trap d-block d-lg-none">Reseting focus</button> </div> </div> </div> </div> </header> <div hidden="hidden" data-view-component="true" class="js-stale-session-flash stale-session-flash flash flash-warn flash-full"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-alert"> <path d="M6.457 1.047c.659-1.234 2.427-1.234 3.086 0l6.082 11.378A1.75 1.75 0 0 1 14.082 15H1.918a1.75 1.75 0 0 1-1.543-2.575Zm1.763.707a.25.25 0 0 0-.44 0L1.698 13.132a.25.25 0 0 0 .22.368h12.164a.25.25 0 0 0 .22-.368Zm.53 3.996v2.5a.75.75 0 0 1-1.5 0v-2.5a.75.75 0 0 1 1.5 0ZM9 11a1 1 0 1 1-2 0 1 1 0 0 1 2 0Z"></path> </svg> <span class="js-stale-session-flash-signed-in" hidden>You signed in with another tab or window. <a class="Link--inTextBlock" href="">Reload</a> to refresh your session.</span> <span class="js-stale-session-flash-signed-out" hidden>You signed out in another tab or window. <a class="Link--inTextBlock" href="">Reload</a> to refresh your session.</span> <span class="js-stale-session-flash-switched" hidden>You switched accounts on another tab or window. <a class="Link--inTextBlock" href="">Reload</a> to refresh your session.</span> <button id="icon-button-33586f9d-e61a-4e2a-9208-4e7379a928ad" aria-labelledby="tooltip-f4901102-db78-4581-a33e-2251d5a46d03" type="button" data-view-component="true" class="Button Button--iconOnly Button--invisible Button--medium flash-close js-flash-close"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-x Button-visual"> <path d="M3.72 3.72a.75.75 0 0 1 1.06 0L8 6.94l3.22-3.22a.749.749 0 0 1 1.275.326.749.749 0 0 1-.215.734L9.06 8l3.22 3.22a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L8 9.06l-3.22 3.22a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L6.94 8 3.72 4.78a.75.75 0 0 1 0-1.06Z"></path> </svg> </button><tool-tip id="tooltip-f4901102-db78-4581-a33e-2251d5a46d03" for="icon-button-33586f9d-e61a-4e2a-9208-4e7379a928ad" popover="manual" data-direction="s" data-type="label" data-view-component="true" class="sr-only position-absolute">Dismiss alert</tool-tip> </div> </div> <div id="start-of-content" class="show-on-focus"></div> <div id="js-flash-container" class="flash-container" data-turbo-replace> <template class="js-flash-template"> <div class="flash flash-full {{ className }}"> <div > <button autofocus class="flash-close js-flash-close" type="button" aria-label="Dismiss this message"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-x"> <path d="M3.72 3.72a.75.75 0 0 1 1.06 0L8 6.94l3.22-3.22a.749.749 0 0 1 1.275.326.749.749 0 0 1-.215.734L9.06 8l3.22 3.22a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L8 9.06l-3.22 3.22a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L6.94 8 3.72 4.78a.75.75 0 0 1 0-1.06Z"></path> </svg> </button> <div aria-atomic="true" role="alert" class="js-flash-alert"> <div>{{ message }}</div> </div> </div> </div> </template> </div> <div class="application-main " data-commit-hovercards-enabled data-discussion-hovercards-enabled data-issue-and-pr-hovercards-enabled data-project-hovercards-enabled > <main> <div class="site-subnav color-bg-default site-subnav-sticky js-sticky" > <nav class="container-lg mx-auto p-responsive" role="navigation" aria-label="Explore navigation"> <div class="d-flex flex-wrap flex-items-center flex-justify-center flex-md-justify-start text-center text-md-left"> <a class="js-selected-navigation-item d-inline-block subnav-primary f5 py-0 py-md-3 mt-2 mt-md-0 mr-0 mr-md-4 no-underline subnav-link" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"NAVIGATION_BAR","click_target":"EXPLORE","click_visual_representation":"CLICK_VISUAL_REPRESENTATION_UNKNOWN","actor_id":null,"record_id":null,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="8813dff21391b86c74dfe5b6de33ac2d26a0c42131709ce0aba599744a8b4456" data-selected-links="/explore /explore/email /explore" href="/explore">Explore</a> <a class="js-selected-navigation-item selected d-inline-block py-2 py-md-3 mr-3 mr-md-4 no-underline subnav-link" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"NAVIGATION_BAR","click_target":"TOPICS","click_visual_representation":"CLICK_VISUAL_REPRESENTATION_UNKNOWN","actor_id":null,"record_id":null,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="b8b1c722cd21195bad137b38e61778bb7b352c73a5919e89a36edd3a494f6e50" aria-current="page" data-selected-links="topics_path /topics/deep-reinforcement-learning /topics" href="/topics">Topics</a> <a class="js-selected-navigation-item d-inline-block py-2 py-md-3 mr-3 mr-md-4 no-underline subnav-link" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"NAVIGATION_BAR","click_target":"TRENDING","click_visual_representation":"CLICK_VISUAL_REPRESENTATION_UNKNOWN","actor_id":null,"record_id":null,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="bbe34d4eca6e43363ee725da943d4a1322c12c8eff083882c6dcefd170f091a3" data-selected-links="/trending /trending/developers /trending/developers /trending /trending" href="/trending">Trending</a> <a class="js-selected-navigation-item d-inline-block py-2 py-md-3 mr-3 mr-md-4 no-underline subnav-link" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"NAVIGATION_BAR","click_target":"COLLECTIONS","click_visual_representation":"CLICK_VISUAL_REPRESENTATION_UNKNOWN","actor_id":null,"record_id":null,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="86339095bbdff489a1c5f092663f2d8120c21002bc3aa9a4e1ed92b39da43abb" data-selected-links="collections_path /collections/ /collections" href="/collections">Collections</a> <a class="js-selected-navigation-item d-inline-block py-2 py-md-3 mr-3 mr-md-4 no-underline subnav-link" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"NAVIGATION_BAR","click_target":"EVENTS","click_visual_representation":"CLICK_VISUAL_REPRESENTATION_UNKNOWN","actor_id":null,"record_id":null,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="9016d48c62f4d492611fc135879538051134df38290a8d19168de0aaa82e3eb0" data-selected-links="events_path /events?id= /events" href="/events">Events</a> <a class="js-selected-navigation-item d-inline-block py-2 py-md-3 mr-3 mr-md-4 no-underline subnav-link" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"NAVIGATION_BAR","click_target":"GITHUB_SPONSORS","click_visual_representation":"CLICK_VISUAL_REPRESENTATION_UNKNOWN","actor_id":null,"record_id":null,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="f9eb0a08e79e62d92956b66eb45f60aeb7ea1e626b7bfeb8deb119c0d2022490" data-selected-links="sponsors_explore_index_path /sponsors/explore /sponsors/explore" href="/sponsors/explore">GitHub Sponsors</a> </div> </nav> </div> <div> <div class="container-lg p-responsive py-5"> <div class="gutter-md"> <div class="col-lg-9 col-md-8 d-flex flex-items-center mb-3 mb-sm-0"> <div class="d-flex flex-1"> <div class="border color-border-subtle color-bg-accent f4 color-fg-muted text-bold rounded flex-shrink-0 text-center mr-3" style="width: 48px; height: 48; line-height: 48px;" > # </div> <h1 class="h1"> deep-reinforcement-learning </h1> </div> <topic-feeds-toast-trigger data-topic-display-name="deep-reinforcement-learning" data-topic-name="deep-reinforcement-learning"> <!--Add Discover button--> <!--End Add Discover button--> <div data-view-component="true" class="d-inline-block"> <a href="/login?return_to=%2Ftopic.deep-reinforcement-learning" rel="nofollow" data-hydro-click="{"event_type":"authentication.click","payload":{"location_in_page":"star button","repository_id":null,"auth_type":"LOG_IN","originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="d2f1af95558445ec8b0d533833c0f07fe89c44fe6777e8b5d4745e3042b7af5e" aria-label="You must be signed in to star a repository" data-view-component="true" class="tooltipped tooltipped-sw btn-sm btn"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-star v-align-text-bottom d-inline-block mr-2"> <path d="M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z"></path> </svg><span data-view-component="true" class="d-inline"> Star </span> </a></div> </topic-feeds-toast-trigger> </div> </div> </div> <div class="topic p-responsive container-lg"> <div class="d-md-flex gutter-md"> <div class="col-md-8 col-lg-9" data-hpc> <h2 class="h3 color-fg-muted"> Here are 2,868 public repositories matching this topic... </h2> <div class="d-sm-flex"> <details class="details-reset details-overlay mt-2 mr-3 select-menu"> <summary data-view-component="true" class="select-menu-button btn-sm btn"> <i>Language:</i> <span data-menu-button>All</span> </summary> <details-menu class="select-menu-modal position-absolute" style="z-index: 99;"> <div class="select-menu-header"> <span class="select-menu-title">Filter by language</span> </div> <div class="select-menu-list"> <a class="select-menu-item" role="menuitemradio" href="https://github.com/topics/deep-reinforcement-learning" aria-checked="true"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-check select-menu-item-icon"> <path d="M13.78 4.22a.75.75 0 0 1 0 1.06l-7.25 7.25a.75.75 0 0 1-1.06 0L2.22 9.28a.751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018L6 10.94l6.72-6.72a.75.75 0 0 1 1.06 0Z"></path> </svg> <span class="select-menu-item-text d-flex flex-justify-between" data-menu-button-text> All <span>2,868</span> </span> </a> <a class="select-menu-item" role="menuitemradio" href="https://github.com/topics/deep-reinforcement-learning?l=python" aria-checked="false"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-check select-menu-item-icon"> <path d="M13.78 4.22a.75.75 0 0 1 0 1.06l-7.25 7.25a.75.75 0 0 1-1.06 0L2.22 9.28a.751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018L6 10.94l6.72-6.72a.75.75 0 0 1 1.06 0Z"></path> </svg> <span class="select-menu-item-text d-flex flex-justify-between" data-menu-button-text> Python <span>1,668</span> </span> </a> <a class="select-menu-item" role="menuitemradio" href="https://github.com/topics/deep-reinforcement-learning?l=jupyter+notebook" aria-checked="false"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-check select-menu-item-icon"> <path d="M13.78 4.22a.75.75 0 0 1 0 1.06l-7.25 7.25a.75.75 0 0 1-1.06 0L2.22 9.28a.751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018L6 10.94l6.72-6.72a.75.75 0 0 1 1.06 0Z"></path> </svg> <span class="select-menu-item-text d-flex flex-justify-between" data-menu-button-text> Jupyter Notebook <span>752</span> </span> </a> <a class="select-menu-item" role="menuitemradio" href="https://github.com/topics/deep-reinforcement-learning?l=html" aria-checked="false"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-check select-menu-item-icon"> <path d="M13.78 4.22a.75.75 0 0 1 0 1.06l-7.25 7.25a.75.75 0 0 1-1.06 0L2.22 9.28a.751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018L6 10.94l6.72-6.72a.75.75 0 0 1 1.06 0Z"></path> </svg> <span class="select-menu-item-text d-flex flex-justify-between" data-menu-button-text> HTML <span>60</span> </span> </a> <a class="select-menu-item" role="menuitemradio" href="https://github.com/topics/deep-reinforcement-learning?l=c%2B%2B" aria-checked="false"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-check select-menu-item-icon"> <path d="M13.78 4.22a.75.75 0 0 1 0 1.06l-7.25 7.25a.75.75 0 0 1-1.06 0L2.22 9.28a.751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018L6 10.94l6.72-6.72a.75.75 0 0 1 1.06 0Z"></path> </svg> <span class="select-menu-item-text d-flex flex-justify-between" data-menu-button-text> C++ <span>55</span> </span> </a> <a class="select-menu-item" role="menuitemradio" href="https://github.com/topics/deep-reinforcement-learning?l=c%23" aria-checked="false"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-check select-menu-item-icon"> <path d="M13.78 4.22a.75.75 0 0 1 0 1.06l-7.25 7.25a.75.75 0 0 1-1.06 0L2.22 9.28a.751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018L6 10.94l6.72-6.72a.75.75 0 0 1 1.06 0Z"></path> </svg> <span class="select-menu-item-text d-flex flex-justify-between" data-menu-button-text> C# <span>36</span> </span> </a> <a class="select-menu-item" role="menuitemradio" href="https://github.com/topics/deep-reinforcement-learning?l=tex" aria-checked="false"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-check select-menu-item-icon"> <path d="M13.78 4.22a.75.75 0 0 1 0 1.06l-7.25 7.25a.75.75 0 0 1-1.06 0L2.22 9.28a.751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018L6 10.94l6.72-6.72a.75.75 0 0 1 1.06 0Z"></path> </svg> <span class="select-menu-item-text d-flex flex-justify-between" data-menu-button-text> TeX <span>22</span> </span> </a> <a class="select-menu-item" role="menuitemradio" href="https://github.com/topics/deep-reinforcement-learning?l=classic+asp" aria-checked="false"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-check select-menu-item-icon"> <path d="M13.78 4.22a.75.75 0 0 1 0 1.06l-7.25 7.25a.75.75 0 0 1-1.06 0L2.22 9.28a.751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018L6 10.94l6.72-6.72a.75.75 0 0 1 1.06 0Z"></path> </svg> <span class="select-menu-item-text d-flex flex-justify-between" data-menu-button-text> Classic ASP <span>15</span> </span> </a> <a class="select-menu-item" role="menuitemradio" href="https://github.com/topics/deep-reinforcement-learning?l=javascript" aria-checked="false"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-check select-menu-item-icon"> <path d="M13.78 4.22a.75.75 0 0 1 0 1.06l-7.25 7.25a.75.75 0 0 1-1.06 0L2.22 9.28a.751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018L6 10.94l6.72-6.72a.75.75 0 0 1 1.06 0Z"></path> </svg> <span class="select-menu-item-text d-flex flex-justify-between" data-menu-button-text> JavaScript <span>15</span> </span> </a> <a class="select-menu-item" role="menuitemradio" href="https://github.com/topics/deep-reinforcement-learning?l=asp.net" aria-checked="false"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-check select-menu-item-icon"> <path d="M13.78 4.22a.75.75 0 0 1 0 1.06l-7.25 7.25a.75.75 0 0 1-1.06 0L2.22 9.28a.751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018L6 10.94l6.72-6.72a.75.75 0 0 1 1.06 0Z"></path> </svg> <span class="select-menu-item-text d-flex flex-justify-between" data-menu-button-text> ASP.NET <span>13</span> </span> </a> <a class="select-menu-item" role="menuitemradio" href="https://github.com/topics/deep-reinforcement-learning?l=lua" aria-checked="false"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-check select-menu-item-icon"> <path d="M13.78 4.22a.75.75 0 0 1 0 1.06l-7.25 7.25a.75.75 0 0 1-1.06 0L2.22 9.28a.751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018L6 10.94l6.72-6.72a.75.75 0 0 1 1.06 0Z"></path> </svg> <span class="select-menu-item-text d-flex flex-justify-between" data-menu-button-text> Lua <span>10</span> </span> </a> </div> </details-menu> </details> <details class="details-reset details-overlay select-menu mt-2"> <summary data-view-component="true" class="select-menu-button btn-sm btn"> <i>Sort:</i> <span data-menu-button >Most stars</span> </summary> <details-menu class="select-menu-modal position-absolute" style="z-index: 99;"> <div class="select-menu-header"> <span class="select-menu-title">Sort options</span> </div> <div class="select-menu-list"> <a class="select-menu-item" role="menuitemradio" aria-checked="true" href="/topics/deep-reinforcement-learning?o=desc&s=stars"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-check select-menu-item-icon"> <path d="M13.78 4.22a.75.75 0 0 1 0 1.06l-7.25 7.25a.75.75 0 0 1-1.06 0L2.22 9.28a.751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018L6 10.94l6.72-6.72a.75.75 0 0 1 1.06 0Z"></path> </svg> <span class="select-menu-item-text" data-menu-button-text > Most stars </span> </a> <a class="select-menu-item" role="menuitemradio" aria-checked="false" href="/topics/deep-reinforcement-learning?o=asc&s=stars"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-check select-menu-item-icon"> <path d="M13.78 4.22a.75.75 0 0 1 0 1.06l-7.25 7.25a.75.75 0 0 1-1.06 0L2.22 9.28a.751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018L6 10.94l6.72-6.72a.75.75 0 0 1 1.06 0Z"></path> </svg> <span class="select-menu-item-text" data-menu-button-text > Fewest stars </span> </a> <a class="select-menu-item" role="menuitemradio" aria-checked="false" href="/topics/deep-reinforcement-learning?o=desc&s=forks"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-check select-menu-item-icon"> <path d="M13.78 4.22a.75.75 0 0 1 0 1.06l-7.25 7.25a.75.75 0 0 1-1.06 0L2.22 9.28a.751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018L6 10.94l6.72-6.72a.75.75 0 0 1 1.06 0Z"></path> </svg> <span class="select-menu-item-text" data-menu-button-text > Most forks </span> </a> <a class="select-menu-item" role="menuitemradio" aria-checked="false" href="/topics/deep-reinforcement-learning?o=asc&s=forks"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-check select-menu-item-icon"> <path d="M13.78 4.22a.75.75 0 0 1 0 1.06l-7.25 7.25a.75.75 0 0 1-1.06 0L2.22 9.28a.751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018L6 10.94l6.72-6.72a.75.75 0 0 1 1.06 0Z"></path> </svg> <span class="select-menu-item-text" data-menu-button-text > Fewest forks </span> </a> <a class="select-menu-item" role="menuitemradio" aria-checked="false" href="/topics/deep-reinforcement-learning?o=desc&s=updated"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-check select-menu-item-icon"> <path d="M13.78 4.22a.75.75 0 0 1 0 1.06l-7.25 7.25a.75.75 0 0 1-1.06 0L2.22 9.28a.751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018L6 10.94l6.72-6.72a.75.75 0 0 1 1.06 0Z"></path> </svg> <span class="select-menu-item-text" data-menu-button-text > Recently updated </span> </a> <a class="select-menu-item" role="menuitemradio" aria-checked="false" href="/topics/deep-reinforcement-learning?o=asc&s=updated"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-check select-menu-item-icon"> <path d="M13.78 4.22a.75.75 0 0 1 0 1.06l-7.25 7.25a.75.75 0 0 1-1.06 0L2.22 9.28a.751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018L6 10.94l6.72-6.72a.75.75 0 0 1 1.06 0Z"></path> </svg> <span class="select-menu-item-text" data-menu-button-text > Least recently updated </span> </a> </div> </details-menu> </details> </div> <article class="border rounded color-shadow-small color-bg-subtle my-4"> <div class="px-3"> <div class="d-flex flex-justify-between flex-items-start flex-wrap gap-2 my-3"> <div class="d-flex flex-1"> <span style="margin-top:2px"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-repo color-fg-muted mr-2"> <path d="M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z"></path> </svg> </span> <h3 class="f3 color-fg-muted text-normal lh-condensed" > <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"OWNER","click_visual_representation":"REPOSITORY_OWNER_HEADING","actor_id":null,"record_id":7977505,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="4c77ffc29c04634ed4c65d3700c83d64607e4bb3764f573f0ca149f551399d7d" data-turbo="false" href="/eriklindernoren" data-view-component="true" class="Link">eriklindernoren</a> / <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"REPOSITORY_NAME_HEADING","actor_id":null,"record_id":80990461,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="d60ee7a1e7a7bcd5f2f8f31d0f129a8738cc1bd195b83bb38f752d53fd627aa7" data-turbo="false" href="/eriklindernoren/ML-From-Scratch" data-view-component="true" class="Link text-bold wb-break-word">ML-From-Scratch</a> </h3> </div> <div class="d-flex flex-items-center"> <div data-view-component="true" class="BtnGroup d-flex"> <a href="/login?return_to=%2Feriklindernoren%2FML-From-Scratch" rel="nofollow" data-hydro-click="{"event_type":"authentication.click","payload":{"location_in_page":"star button","repository_id":80990461,"auth_type":"LOG_IN","originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="5ba6af894cbadbe252bae20fb3de385922950a0569297779e3b5c065576fe2fe" aria-label="You must be signed in to star a repository" data-view-component="true" class="tooltipped tooltipped-sw btn-sm btn color-bg-default"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-star v-align-text-bottom d-inline-block mr-2"> <path d="M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z"></path> </svg><span data-view-component="true" class="d-inline"> Star </span> <span id="repo-stars-counter-star" aria-label="24399 users starred this repository" data-singular-suffix="user starred this repository" data-plural-suffix="users starred this repository" data-turbo-replace="true" title="24,399" data-view-component="true" class="Counter js-social-count">24.4k</span> </a></div> </div> </div> </div> <nav aria-label="Repository menu" data-view-component="true" class="tabnav px-3 mb-0"> <ul data-view-component="true" class="tabnav-tabs"> <li data-view-component="true" class="d-inline-flex"> <a id="code-tab-80990461" aria-current="true" href="/eriklindernoren/ML-From-Scratch" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"CODE_TAB","actor_id":null,"record_id":80990461,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="f64a682b1b33ae58652ac3a3b4bb7bc4271ae5c49fcad16460917089b8682218" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-code color-fg-default"> <path d="m11.28 3.22 4.25 4.25a.75.75 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.275-.326.749.749 0 0 1 .215-.734L13.94 8l-3.72-3.72a.749.749 0 0 1 .326-1.275.749.749 0 0 1 .734.215Zm-6.56 0a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042L2.06 8l3.72 3.72a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L.47 8.53a.75.75 0 0 1 0-1.06Z"></path> </svg> Code </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="issues-tab-80990461" href="/eriklindernoren/ML-From-Scratch/issues" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_ISSUES","click_visual_representation":"ISSUES_TAB","actor_id":null,"record_id":80990461,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="d7468adf91a7939a5832d71a1af5e97c61a6c513c64e607a3d32b80986bd85f5" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-issue-opened color-fg-muted"> <path d="M8 9.5a1.5 1.5 0 1 0 0-3 1.5 1.5 0 0 0 0 3Z"></path><path d="M8 0a8 8 0 1 1 0 16A8 8 0 0 1 8 0ZM1.5 8a6.5 6.5 0 1 0 13 0 6.5 6.5 0 0 0-13 0Z"></path> </svg> Issues </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="pull-requests-tab-80990461" href="/eriklindernoren/ML-From-Scratch/pulls" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_PULL_REQUESTS","click_visual_representation":"PULL_REQUESTS_TAB","actor_id":null,"record_id":80990461,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="497d331ecc99cc9ac04192e7cf35a8713432d9db0b1d9cdf2ba693489f0da1e1" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-git-pull-request color-fg-muted"> <path d="M1.5 3.25a2.25 2.25 0 1 1 3 2.122v5.256a2.251 2.251 0 1 1-1.5 0V5.372A2.25 2.25 0 0 1 1.5 3.25Zm5.677-.177L9.573.677A.25.25 0 0 1 10 .854V2.5h1A2.5 2.5 0 0 1 13.5 5v5.628a2.251 2.251 0 1 1-1.5 0V5a1 1 0 0 0-1-1h-1v1.646a.25.25 0 0 1-.427.177L7.177 3.427a.25.25 0 0 1 0-.354ZM3.75 2.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm0 9.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm8.25.75a.75.75 0 1 0 1.5 0 .75.75 0 0 0-1.5 0Z"></path> </svg> Pull requests </a></li> </ul> </nav> <div class="color-bg-default rounded-bottom-2"> <div class="px-3 pt-3"> <p class="color-fg-muted mb-0" >Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.</p> </div> <div class="d-flex flex-wrap border-bottom color-border-muted px-3 pt-2 pb-2"> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":2129,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="e4849cbbeac869b073bb71d4c44c7d3c2d0e8ecd735aeb114f625075b6eb3d52" title="Topic: data-science" href="/topics/data-science" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">data-science</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":2169,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="1b2fc54a415f42bd2062de46d0121667f7a10e9de3faca3f7304874b2450fb4e" title="Topic: machine-learning" href="/topics/machine-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">machine-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":2289,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="492fc7ea80349e3dc2120d06d159210c9daf235eb24f2697e0c293f5759c9a8f" title="Topic: data-mining" href="/topics/data-mining" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">data-mining</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":9290,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="675eafd3ddc01ced10443651e5f4df2b48879ed4b792e38932619b3e1a68625d" title="Topic: deep-learning" href="/topics/deep-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deep-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":13654,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="af86bd95d7ae33371f8a7850add12595ad13b4a8a140afd218deca24e9257f48" title="Topic: genetic-algorithm" href="/topics/genetic-algorithm" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">genetic-algorithm</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":21287,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="6e5f45a15f3529ef3430ac6207b0b2f886c6efd92ac3354a58d7e03c3065d44f" title="Topic: deep-reinforcement-learning" href="/topics/deep-reinforcement-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deep-reinforcement-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":381793,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="b08654d0a26dd2b1b6096b5f9b7647a1ac97def277dfa1b06fe002b7a925917c" title="Topic: machine-learning-from-scratch" href="/topics/machine-learning-from-scratch" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">machine-learning-from-scratch</a> </div> <div class="p-3"> <ul class="d-flex f6 list-style-none color-fg-muted"> <li class="mr-4"> Updated <relative-time datetime="2023-10-15T06:05:06Z" class="no-wrap">Oct 15, 2023</relative-time> </li> <li class="mr-4"> <span class="f6 my-1 ml-0"> <span class="repo-language-color" style="background-color: #3572A5"></span> <span itemprop="programmingLanguage">Python</span> </span> </li> </ul> </div> </div> </article> <article class="border rounded color-shadow-small color-bg-subtle my-4"> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"REPOSITORY_IMAGE","actor_id":null,"record_id":102904613,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="e95dc9c902516e7f04d92e69411e39153a873736baa5398663f39e75c1cedd03" data-turbo="false" style="max-height:275px" href="/Unity-Technologies/ml-agents" data-view-component="true" class="overflow-hidden flex-items-center rounded-top-2 Link color-border-muted border-bottom d-flex position-relative"><img loading="lazy" src="https://repository-images.githubusercontent.com/102904613/1a0c6980-7d0d-11eb-816e-fa44f42fa7af" alt="ml-agents" class="d-block width-full" ></a> <div class="px-3"> <div class="d-flex flex-justify-between flex-items-start flex-wrap gap-2 my-3"> <div class="d-flex flex-1"> <span style="margin-top:2px"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-repo color-fg-muted mr-2"> <path d="M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z"></path> </svg> </span> <h3 class="f3 color-fg-muted text-normal lh-condensed" > <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"OWNER","click_visual_representation":"REPOSITORY_OWNER_HEADING","actor_id":null,"record_id":426196,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="607a8a6013cab277624e7a5257c23ff56c3d6087ac594aecc5ec3573ed94d2ab" data-turbo="false" href="/Unity-Technologies" data-view-component="true" class="Link">Unity-Technologies</a> / <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"REPOSITORY_NAME_HEADING","actor_id":null,"record_id":102904613,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="9ae617f8283e66493565d609d4d551aa2c3e9a800b5707ecee466c6c402804a9" data-turbo="false" href="/Unity-Technologies/ml-agents" data-view-component="true" class="Link text-bold wb-break-word">ml-agents</a> </h3> </div> <div class="d-flex flex-items-center"> <div data-view-component="true" class="BtnGroup d-flex"> <a href="/login?return_to=%2FUnity-Technologies%2Fml-agents" rel="nofollow" data-hydro-click="{"event_type":"authentication.click","payload":{"location_in_page":"star button","repository_id":102904613,"auth_type":"LOG_IN","originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="02cc3cb38ee8e35c3944b0cd158dc66dc7591bc3a2146e1deca0dc0fe1adacba" aria-label="You must be signed in to star a repository" data-view-component="true" class="tooltipped tooltipped-sw btn-sm btn color-bg-default"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-star v-align-text-bottom d-inline-block mr-2"> <path d="M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z"></path> </svg><span data-view-component="true" class="d-inline"> Star </span> <span id="repo-stars-counter-star" aria-label="17902 users starred this repository" data-singular-suffix="user starred this repository" data-plural-suffix="users starred this repository" data-turbo-replace="true" title="17,902" data-view-component="true" class="Counter js-social-count">17.9k</span> </a></div> </div> </div> </div> <nav aria-label="Repository menu" data-view-component="true" class="tabnav px-3 mb-0"> <ul data-view-component="true" class="tabnav-tabs"> <li data-view-component="true" class="d-inline-flex"> <a id="code-tab-102904613" aria-current="true" href="/Unity-Technologies/ml-agents" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"CODE_TAB","actor_id":null,"record_id":102904613,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="93e2209d6117a68715b0a38d8aa2a9b1c2f4574291ac326b60e7c92993ff8044" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-code color-fg-default"> <path d="m11.28 3.22 4.25 4.25a.75.75 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.275-.326.749.749 0 0 1 .215-.734L13.94 8l-3.72-3.72a.749.749 0 0 1 .326-1.275.749.749 0 0 1 .734.215Zm-6.56 0a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042L2.06 8l3.72 3.72a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L.47 8.53a.75.75 0 0 1 0-1.06Z"></path> </svg> Code </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="issues-tab-102904613" href="/Unity-Technologies/ml-agents/issues" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_ISSUES","click_visual_representation":"ISSUES_TAB","actor_id":null,"record_id":102904613,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="face08c303b0fd5c29d91408ab350d55cb1fe63713d9c9785aa89db880a20708" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-issue-opened color-fg-muted"> <path d="M8 9.5a1.5 1.5 0 1 0 0-3 1.5 1.5 0 0 0 0 3Z"></path><path d="M8 0a8 8 0 1 1 0 16A8 8 0 0 1 8 0ZM1.5 8a6.5 6.5 0 1 0 13 0 6.5 6.5 0 0 0-13 0Z"></path> </svg> Issues </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="pull-requests-tab-102904613" href="/Unity-Technologies/ml-agents/pulls" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_PULL_REQUESTS","click_visual_representation":"PULL_REQUESTS_TAB","actor_id":null,"record_id":102904613,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="6cbef68943279fa9e2545dd881781236ba6aff99bcc3e13c952eb7a42550315a" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-git-pull-request color-fg-muted"> <path d="M1.5 3.25a2.25 2.25 0 1 1 3 2.122v5.256a2.251 2.251 0 1 1-1.5 0V5.372A2.25 2.25 0 0 1 1.5 3.25Zm5.677-.177L9.573.677A.25.25 0 0 1 10 .854V2.5h1A2.5 2.5 0 0 1 13.5 5v5.628a2.251 2.251 0 1 1-1.5 0V5a1 1 0 0 0-1-1h-1v1.646a.25.25 0 0 1-.427.177L7.177 3.427a.25.25 0 0 1 0-.354ZM3.75 2.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm0 9.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm8.25.75a.75.75 0 1 0 1.5 0 .75.75 0 0 0-1.5 0Z"></path> </svg> Pull requests </a></li> </ul> </nav> <div class="color-bg-default rounded-bottom-2"> <div class="px-3 pt-3"> <p class="color-fg-muted mb-0" >The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.</p> </div> <div class="d-flex flex-wrap border-bottom color-border-muted px-3 pt-2 pb-2"> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":2169,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="1b2fc54a415f42bd2062de46d0121667f7a10e9de3faca3f7304874b2450fb4e" title="Topic: machine-learning" href="/topics/machine-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">machine-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":9047,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="1db29a5eca4ed8a7bc164cda58fd5a9087645f57c0109771c4c193c539c9fad2" title="Topic: reinforcement-learning" href="/topics/reinforcement-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">reinforcement-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":9290,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="675eafd3ddc01ced10443651e5f4df2b48879ed4b792e38932619b3e1a68625d" title="Topic: deep-learning" href="/topics/deep-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deep-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":11962,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="d820cdd3c4af77319b0f54517ea582b5ebc27337a0f2cedd2b062f653a2b1cac" title="Topic: unity" href="/topics/unity" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">unity</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":20864,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="3a8180275e9be4bfc9d36fd3c9908e1eaceebb49c89846b64f0102bb5d9498cc" title="Topic: unity3d" href="/topics/unity3d" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">unity3d</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":21287,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="6e5f45a15f3529ef3430ac6207b0b2f886c6efd92ac3354a58d7e03c3065d44f" title="Topic: deep-reinforcement-learning" href="/topics/deep-reinforcement-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deep-reinforcement-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":44842,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="2efee7ec345ed8ecf4efeaa35fec06d424153aec887876760e4135ddf1757083" title="Topic: neural-networks" href="/topics/neural-networks" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">neural-networks</a> </div> <div class="p-3"> <ul class="d-flex f6 list-style-none color-fg-muted"> <li class="mr-4"> Updated <relative-time datetime="2025-01-08T14:00:47Z" class="no-wrap">Jan 8, 2025</relative-time> </li> <li class="mr-4"> <span class="f6 my-1 ml-0"> <span class="repo-language-color" style="background-color: #178600"></span> <span itemprop="programmingLanguage">C#</span> </span> </li> </ul> </div> </div> </article> <article class="border rounded color-shadow-small color-bg-subtle my-4"> <div class="px-3"> <div class="d-flex flex-justify-between flex-items-start flex-wrap gap-2 my-3"> <div class="d-flex flex-1"> <span style="margin-top:2px"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-repo color-fg-muted mr-2"> <path d="M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z"></path> </svg> </span> <h3 class="f3 color-fg-muted text-normal lh-condensed" > <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"OWNER","click_visual_representation":"REPOSITORY_OWNER_HEADING","actor_id":null,"record_id":6154722,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="05f397f24fd85b6bf65f81594cc5283377aa851a1eec935f384f06c5b255f23f" data-turbo="false" href="/microsoft" data-view-component="true" class="Link">microsoft</a> / <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"REPOSITORY_NAME_HEADING","actor_id":null,"record_id":81887991,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="4e1cb27f6f541db7c4e51d046277ba00852161a16e2a47e3cc0f2ac679fbee48" data-turbo="false" href="/microsoft/AirSim" data-view-component="true" class="Link text-bold wb-break-word">AirSim</a> </h3> </div> <div class="d-flex flex-items-center"> <div data-view-component="true" class="BtnGroup d-flex"> <a href="/login?return_to=%2Fmicrosoft%2FAirSim" rel="nofollow" data-hydro-click="{"event_type":"authentication.click","payload":{"location_in_page":"star button","repository_id":81887991,"auth_type":"LOG_IN","originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="5be3655a5ce0e7fea979734979396e70d421e29ae2c763d7380bcc4145e2491e" aria-label="You must be signed in to star a repository" data-view-component="true" class="tooltipped tooltipped-sw btn-sm btn color-bg-default"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-star v-align-text-bottom d-inline-block mr-2"> <path d="M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z"></path> </svg><span data-view-component="true" class="d-inline"> Star </span> <span id="repo-stars-counter-star" aria-label="16962 users starred this repository" data-singular-suffix="user starred this repository" data-plural-suffix="users starred this repository" data-turbo-replace="true" title="16,962" data-view-component="true" class="Counter js-social-count">17k</span> </a></div> </div> </div> </div> <nav aria-label="Repository menu" data-view-component="true" class="tabnav px-3 mb-0"> <ul data-view-component="true" class="tabnav-tabs"> <li data-view-component="true" class="d-inline-flex"> <a id="code-tab-81887991" aria-current="true" href="/microsoft/AirSim" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"CODE_TAB","actor_id":null,"record_id":81887991,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="da9d41bda1c313b38c93e6d2111179ba767de52903d7c4752ef68b757f5a68d7" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-code color-fg-default"> <path d="m11.28 3.22 4.25 4.25a.75.75 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.275-.326.749.749 0 0 1 .215-.734L13.94 8l-3.72-3.72a.749.749 0 0 1 .326-1.275.749.749 0 0 1 .734.215Zm-6.56 0a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042L2.06 8l3.72 3.72a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L.47 8.53a.75.75 0 0 1 0-1.06Z"></path> </svg> Code </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="issues-tab-81887991" href="/microsoft/AirSim/issues" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_ISSUES","click_visual_representation":"ISSUES_TAB","actor_id":null,"record_id":81887991,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="6055869b41a6d391ce3263d859029436e95d1448f17847cc8c47b9328c2e34c6" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-issue-opened color-fg-muted"> <path d="M8 9.5a1.5 1.5 0 1 0 0-3 1.5 1.5 0 0 0 0 3Z"></path><path d="M8 0a8 8 0 1 1 0 16A8 8 0 0 1 8 0ZM1.5 8a6.5 6.5 0 1 0 13 0 6.5 6.5 0 0 0-13 0Z"></path> </svg> Issues </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="pull-requests-tab-81887991" href="/microsoft/AirSim/pulls" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_PULL_REQUESTS","click_visual_representation":"PULL_REQUESTS_TAB","actor_id":null,"record_id":81887991,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="beb1929ef55746611d6eca235755ba1bc2fe91ee9dc7fda61398c97e56bf0c66" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-git-pull-request color-fg-muted"> <path d="M1.5 3.25a2.25 2.25 0 1 1 3 2.122v5.256a2.251 2.251 0 1 1-1.5 0V5.372A2.25 2.25 0 0 1 1.5 3.25Zm5.677-.177L9.573.677A.25.25 0 0 1 10 .854V2.5h1A2.5 2.5 0 0 1 13.5 5v5.628a2.251 2.251 0 1 1-1.5 0V5a1 1 0 0 0-1-1h-1v1.646a.25.25 0 0 1-.427.177L7.177 3.427a.25.25 0 0 1 0-.354ZM3.75 2.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm0 9.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm8.25.75a.75.75 0 1 0 1.5 0 .75.75 0 0 0-1.5 0Z"></path> </svg> Pull requests </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="discussions-tab-81887991" href="/microsoft/AirSim/discussions" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_DISCUSSIONS","click_visual_representation":"DISCUSSIONS_TAB","actor_id":null,"record_id":81887991,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="8054b87321c2444323f1ba0f9c45cea0337fc185811e0ae05e58c4b36a03ccf1" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-comment-discussion color-fg-muted"> <path d="M1.75 1h8.5c.966 0 1.75.784 1.75 1.75v5.5A1.75 1.75 0 0 1 10.25 10H7.061l-2.574 2.573A1.458 1.458 0 0 1 2 11.543V10h-.25A1.75 1.75 0 0 1 0 8.25v-5.5C0 1.784.784 1 1.75 1ZM1.5 2.75v5.5c0 .138.112.25.25.25h1a.75.75 0 0 1 .75.75v2.19l2.72-2.72a.749.749 0 0 1 .53-.22h3.5a.25.25 0 0 0 .25-.25v-5.5a.25.25 0 0 0-.25-.25h-8.5a.25.25 0 0 0-.25.25Zm13 2a.25.25 0 0 0-.25-.25h-.5a.75.75 0 0 1 0-1.5h.5c.966 0 1.75.784 1.75 1.75v5.5A1.75 1.75 0 0 1 14.25 12H14v1.543a1.458 1.458 0 0 1-2.487 1.03L9.22 12.28a.749.749 0 0 1 .326-1.275.749.749 0 0 1 .734.215l2.22 2.22v-2.19a.75.75 0 0 1 .75-.75h1a.25.25 0 0 0 .25-.25Z"></path> </svg> Discussions </a></li> </ul> </nav> <div class="color-bg-default rounded-bottom-2"> <div class="px-3 pt-3"> <p class="color-fg-muted mb-0" >Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research</p> </div> <div class="d-flex flex-wrap border-bottom color-border-muted px-3 pt-2 pb-2"> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":7652,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="26409d343c2ab172a0da38f8293381733026b3b5a0e0c29ee24e857cf99e8ba7" title="Topic: simulator" href="/topics/simulator" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">simulator</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":8969,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="bf789a93ff81169f46e05e6f29ee63039fa2d55a84bc6df69ffb88b00b16e2ee" title="Topic: research" href="/topics/research" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">research</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":9116,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="280bfa1e13085447f9fdbf0fd8075a1acaabfda41c090a8bd8aca7f278b65aa6" title="Topic: ai" href="/topics/ai" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">ai</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":9187,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="554dad26635ba0eaaa2ec798eeccd8e3d566443e29b5be52ce6528abfbd30d9b" title="Topic: computer-vision" href="/topics/computer-vision" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">computer-vision</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":9621,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="06d9614ebf16ac6fe94b2acd5cef81df38fd3979787ec87c16c45b5548d4b50c" title="Topic: cross-platform" href="/topics/cross-platform" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">cross-platform</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":21287,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="6e5f45a15f3529ef3430ac6207b0b2f886c6efd92ac3354a58d7e03c3065d44f" title="Topic: deep-reinforcement-learning" href="/topics/deep-reinforcement-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deep-reinforcement-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":24132,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="14732ba30b3a171594ee14a8aca9e2fe4ef3e2f6bfcff301ad365ee1b612c001" title="Topic: artificial-intelligence" href="/topics/artificial-intelligence" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">artificial-intelligence</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":27571,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="3c9866ca72c1a634b0573b52b64fafff5a1452d740e7f78e5d64fa3750b8afb0" title="Topic: pixhawk" href="/topics/pixhawk" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">pixhawk</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":60969,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="ab65bb735fe030d835eb4e95f8672bb91b6a30b509e5f4ada0e6cb7c5f7ad939" title="Topic: self-driving-car" href="/topics/self-driving-car" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">self-driving-car</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":79259,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="cec015af1c43d0a57ea82f4cedf8dce295a02c74687bae0be81352cee8e713a4" title="Topic: unreal-engine" href="/topics/unreal-engine" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">unreal-engine</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":83290,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="326e4f0636d531bc1b020da0f7fb3348de0a31251456036c041aa7bd0694d274" title="Topic: drones" href="/topics/drones" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">drones</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":84905,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="5b92ce0ef41ee2b4d5c3a63f2624a18d1fe0b867e7c005ad561c636ed840cb14" title="Topic: deeplearning" href="/topics/deeplearning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deeplearning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":94224,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="47081cc761007fd21ec068238b541bc0dc65c2a8ff00d98cb9447c5f6352e37d" title="Topic: control-systems" href="/topics/control-systems" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">control-systems</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":127651,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="12fe25be7702e731d00ea7c3d52e44d63dd4ba4ecc4393a76d38b3d1341f2b22" title="Topic: platform-independent" href="/topics/platform-independent" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">platform-independent</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":127875,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="5d6369db6b9fcae7f0427144446288253b50afa24346ba89d0dd002b9345b85e" title="Topic: autonomous-quadcoptor" href="/topics/autonomous-quadcoptor" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">autonomous-quadcoptor</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":150714,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="50f40f1b5f45b5bdcd181e4af66690a051387cf2c3939a20eddb9b0e4ba58017" title="Topic: autonomous-vehicles" href="/topics/autonomous-vehicles" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">autonomous-vehicles</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":439907,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="72f7faeffc4a4ac2adcf70eb3e30b7fc37a9ac4bd13c305a282bb623da479739" title="Topic: airsim" href="/topics/airsim" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">airsim</a> </div> <div class="p-3"> <ul class="d-flex f6 list-style-none color-fg-muted"> <li class="mr-4"> Updated <relative-time datetime="2024-06-22T22:24:25Z" class="no-wrap">Jun 22, 2024</relative-time> </li> <li class="mr-4"> <span class="f6 my-1 ml-0"> <span class="repo-language-color" style="background-color: #f34b7d"></span> <span itemprop="programmingLanguage">C++</span> </span> </li> </ul> </div> </div> </article> <article class="border rounded color-shadow-small color-bg-subtle my-4"> <div class="px-3"> <div class="d-flex flex-justify-between flex-items-start flex-wrap gap-2 my-3"> <div class="d-flex flex-1"> <span style="margin-top:2px"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-repo color-fg-muted mr-2"> <path d="M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z"></path> </svg> </span> <h3 class="f3 color-fg-muted text-normal lh-condensed" > <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"OWNER","click_visual_representation":"REPOSITORY_OWNER_HEADING","actor_id":null,"record_id":5196297,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="228f1857795cbc9e4db0c3cc2cabb51ab4f02ec63a6247513fd095aab860d9f0" data-turbo="false" href="/kmario23" data-view-component="true" class="Link">kmario23</a> / <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"REPOSITORY_NAME_HEADING","actor_id":null,"record_id":159091924,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="c98de028f77f0e7decbe9ff81326f4b5fb00ee6742dbd3769392ca3bdfa6e435" data-turbo="false" href="/kmario23/deep-learning-drizzle" data-view-component="true" class="Link text-bold wb-break-word">deep-learning-drizzle</a> </h3> </div> <div class="d-flex flex-items-center"> <div data-view-component="true" class="BtnGroup d-flex"> <a href="/login?return_to=%2Fkmario23%2Fdeep-learning-drizzle" rel="nofollow" data-hydro-click="{"event_type":"authentication.click","payload":{"location_in_page":"star button","repository_id":159091924,"auth_type":"LOG_IN","originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="9d7a846526d115fdd7725d78019e4092c2a68374345505dadac28a64e69b71fd" aria-label="You must be signed in to star a repository" data-view-component="true" class="tooltipped tooltipped-sw btn-sm btn color-bg-default"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-star v-align-text-bottom d-inline-block mr-2"> <path d="M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z"></path> </svg><span data-view-component="true" class="d-inline"> Star </span> <span id="repo-stars-counter-star" aria-label="12528 users starred this repository" data-singular-suffix="user starred this repository" data-plural-suffix="users starred this repository" data-turbo-replace="true" title="12,528" data-view-component="true" class="Counter js-social-count">12.5k</span> </a></div> </div> </div> </div> <nav aria-label="Repository menu" data-view-component="true" class="tabnav px-3 mb-0"> <ul data-view-component="true" class="tabnav-tabs"> <li data-view-component="true" class="d-inline-flex"> <a id="code-tab-159091924" aria-current="true" href="/kmario23/deep-learning-drizzle" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"CODE_TAB","actor_id":null,"record_id":159091924,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="4b835d1bc0e08d8561edd18d41776a731de19a83742792ee1160f9f9c14fe895" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-code color-fg-default"> <path d="m11.28 3.22 4.25 4.25a.75.75 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.275-.326.749.749 0 0 1 .215-.734L13.94 8l-3.72-3.72a.749.749 0 0 1 .326-1.275.749.749 0 0 1 .734.215Zm-6.56 0a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042L2.06 8l3.72 3.72a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L.47 8.53a.75.75 0 0 1 0-1.06Z"></path> </svg> Code </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="issues-tab-159091924" href="/kmario23/deep-learning-drizzle/issues" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_ISSUES","click_visual_representation":"ISSUES_TAB","actor_id":null,"record_id":159091924,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="381d2bddbf1afad1af81263d99e8016e13395904c91c481791643b255888d724" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-issue-opened color-fg-muted"> <path d="M8 9.5a1.5 1.5 0 1 0 0-3 1.5 1.5 0 0 0 0 3Z"></path><path d="M8 0a8 8 0 1 1 0 16A8 8 0 0 1 8 0ZM1.5 8a6.5 6.5 0 1 0 13 0 6.5 6.5 0 0 0-13 0Z"></path> </svg> Issues </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="pull-requests-tab-159091924" href="/kmario23/deep-learning-drizzle/pulls" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_PULL_REQUESTS","click_visual_representation":"PULL_REQUESTS_TAB","actor_id":null,"record_id":159091924,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="5f4b1c453ee897313a3572c5ed07bc25aac1ab9b1795430d90088ad4fb9bfe12" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-git-pull-request color-fg-muted"> <path d="M1.5 3.25a2.25 2.25 0 1 1 3 2.122v5.256a2.251 2.251 0 1 1-1.5 0V5.372A2.25 2.25 0 0 1 1.5 3.25Zm5.677-.177L9.573.677A.25.25 0 0 1 10 .854V2.5h1A2.5 2.5 0 0 1 13.5 5v5.628a2.251 2.251 0 1 1-1.5 0V5a1 1 0 0 0-1-1h-1v1.646a.25.25 0 0 1-.427.177L7.177 3.427a.25.25 0 0 1 0-.354ZM3.75 2.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm0 9.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm8.25.75a.75.75 0 1 0 1.5 0 .75.75 0 0 0-1.5 0Z"></path> </svg> Pull requests </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="discussions-tab-159091924" href="/kmario23/deep-learning-drizzle/discussions" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_DISCUSSIONS","click_visual_representation":"DISCUSSIONS_TAB","actor_id":null,"record_id":159091924,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="c68207d12d15be7545b8becc95429201e7ee479c81af30c6ec5d5de839694baa" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-comment-discussion color-fg-muted"> <path d="M1.75 1h8.5c.966 0 1.75.784 1.75 1.75v5.5A1.75 1.75 0 0 1 10.25 10H7.061l-2.574 2.573A1.458 1.458 0 0 1 2 11.543V10h-.25A1.75 1.75 0 0 1 0 8.25v-5.5C0 1.784.784 1 1.75 1ZM1.5 2.75v5.5c0 .138.112.25.25.25h1a.75.75 0 0 1 .75.75v2.19l2.72-2.72a.749.749 0 0 1 .53-.22h3.5a.25.25 0 0 0 .25-.25v-5.5a.25.25 0 0 0-.25-.25h-8.5a.25.25 0 0 0-.25.25Zm13 2a.25.25 0 0 0-.25-.25h-.5a.75.75 0 0 1 0-1.5h.5c.966 0 1.75.784 1.75 1.75v5.5A1.75 1.75 0 0 1 14.25 12H14v1.543a1.458 1.458 0 0 1-2.487 1.03L9.22 12.28a.749.749 0 0 1 .326-1.275.749.749 0 0 1 .734.215l2.22 2.22v-2.19a.75.75 0 0 1 .75-.75h1a.25.25 0 0 0 .25-.25Z"></path> </svg> Discussions </a></li> </ul> </nav> <div class="color-bg-default rounded-bottom-2"> <div class="px-3 pt-3"> <p class="color-fg-muted mb-0" >Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!</p> </div> <div class="d-flex flex-wrap border-bottom color-border-muted px-3 pt-2 pb-2"> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":2169,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="1b2fc54a415f42bd2062de46d0121667f7a10e9de3faca3f7304874b2450fb4e" title="Topic: machine-learning" href="/topics/machine-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">machine-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":2170,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="912d4b8206b344989ff070faf100766d214544d9fcae32a3784dcd1940ebf774" title="Topic: natural-language-processing" href="/topics/natural-language-processing" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">natural-language-processing</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":7631,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="a46c9b299d2024be511c92422ad492ea165814d03594d6e96cd13f09487ab931" title="Topic: deep-neural-networks" href="/topics/deep-neural-networks" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deep-neural-networks</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":9047,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="1db29a5eca4ed8a7bc164cda58fd5a9087645f57c0109771c4c193c539c9fad2" title="Topic: reinforcement-learning" href="/topics/reinforcement-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">reinforcement-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":9187,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="554dad26635ba0eaaa2ec798eeccd8e3d566443e29b5be52ce6528abfbd30d9b" title="Topic: computer-vision" href="/topics/computer-vision" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">computer-vision</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":9290,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="675eafd3ddc01ced10443651e5f4df2b48879ed4b792e38932619b3e1a68625d" title="Topic: deep-learning" href="/topics/deep-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deep-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":12779,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="890236f38e75fdf021f7ea08a8cc2eb0a74b07f35ac241abd5481ea05396a0af" title="Topic: optimization" href="/topics/optimization" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">optimization</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":17308,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="41254f7e17b8501b2fcb423c36545b334cfa9cfafc800d2eff3820d9be91e48b" title="Topic: probability" href="/topics/probability" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">probability</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":21287,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="6e5f45a15f3529ef3430ac6207b0b2f886c6efd92ac3354a58d7e03c3065d44f" title="Topic: deep-reinforcement-learning" href="/topics/deep-reinforcement-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deep-reinforcement-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":34997,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="ef8fe1358b8d641b6df85947791f959d53c3b95d6f39b36479c7b41c1928b340" title="Topic: medical-imaging" href="/topics/medical-imaging" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">medical-imaging</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":43544,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="b98e9ef4210d1b1f1e5661056d39093ca7073098b4d3d83c7a27a17e56418256" title="Topic: speech-recognition" href="/topics/speech-recognition" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">speech-recognition</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":65319,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="f829c7a6c9906d13726d54616c72889142194bbe5315f3f030a366d6f46b61b3" title="Topic: artificial-neural-networks" href="/topics/artificial-neural-networks" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">artificial-neural-networks</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":75091,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="95441a8fa219062c079a0d7e37a4689d9f007f4da74be35e20a12eaa5a09e745" title="Topic: pattern-recognition" href="/topics/pattern-recognition" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">pattern-recognition</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":202300,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="6f1ab7a3f1b40d6d40b80243b91b5d7fed1a81115c84ad8cf36606732f6a5e3a" title="Topic: probabilistic-graphical-models" href="/topics/probabilistic-graphical-models" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">probabilistic-graphical-models</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":244247,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="7ab82e13ea7357ea032b58173dddba072c3972e162c7a3e9a6dbfc98ce6f5855" title="Topic: bayesian-statistics" href="/topics/bayesian-statistics" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">bayesian-statistics</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":372400,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="033ec42eb3d353c426b55cdec7b2b9e666406e4ee3c707b52d8f29e9e419dbb4" title="Topic: artificial-intelligence-algorithms" href="/topics/artificial-intelligence-algorithms" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">artificial-intelligence-algorithms</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":378009,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="33376175d34698c8d9f8bef9866c5d332912123f7361039294de9db9d204c02a" title="Topic: visual-recognition" href="/topics/visual-recognition" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">visual-recognition</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":617650,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="d58d2e4e5dfcbcd656784854e5191ca51bf35283261176470d4ec39d2ba93bfe" title="Topic: geometric-deep-learning" href="/topics/geometric-deep-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">geometric-deep-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":621493,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="2fd51b0c7ea9ce18a79199b7f0e81892d464d0f02253bd60c0f4d9d0a3733bbc" title="Topic: explainable-ai" href="/topics/explainable-ai" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">explainable-ai</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":734870,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="71b873bdcc9e7fca7cd78980a0c95d4071ee2bfe050a8d0634452faa15a548e7" title="Topic: graph-neural-networks" href="/topics/graph-neural-networks" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">graph-neural-networks</a> </div> <div class="p-3"> <ul class="d-flex f6 list-style-none color-fg-muted"> <li class="mr-4"> Updated <relative-time datetime="2024-10-19T17:28:52Z" class="no-wrap">Oct 19, 2024</relative-time> </li> <li class="mr-4"> <span class="f6 my-1 ml-0"> <span class="repo-language-color" style="background-color: #e34c26"></span> <span itemprop="programmingLanguage">HTML</span> </span> </li> </ul> </div> </div> </article> <article class="border rounded color-shadow-small color-bg-subtle my-4"> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"REPOSITORY_IMAGE","actor_id":null,"record_id":108102826,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="8fc6be58bf0db52759335a56bdd8180dd7cab7f98147aa261c9895e4609cb89d" data-turbo="false" style="max-height:275px" href="/carla-simulator/carla" data-view-component="true" class="overflow-hidden flex-items-center rounded-top-2 Link color-border-muted border-bottom d-flex position-relative"><img loading="lazy" src="https://repository-images.githubusercontent.com/108102826/b4c7e780-9374-11e9-970b-aacad1e5f0a7" alt="carla" class="d-block width-full" ></a> <div class="px-3"> <div class="d-flex flex-justify-between flex-items-start flex-wrap gap-2 my-3"> <div class="d-flex flex-1"> <span style="margin-top:2px"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-repo color-fg-muted mr-2"> <path d="M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z"></path> </svg> </span> <h3 class="f3 color-fg-muted text-normal lh-condensed" > <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"OWNER","click_visual_representation":"REPOSITORY_OWNER_HEADING","actor_id":null,"record_id":33029185,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="18a310ac3c43233cc5e2146d959b1e61640740250a8270e8eb984924db065464" data-turbo="false" href="/carla-simulator" data-view-component="true" class="Link">carla-simulator</a> / <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"REPOSITORY_NAME_HEADING","actor_id":null,"record_id":108102826,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="e76b0ee88e0e4bfd465e95fe52cf41ba2a063c9bdf7a95d2f4c02f8c81be49a9" data-turbo="false" href="/carla-simulator/carla" data-view-component="true" class="Link text-bold wb-break-word">carla</a> </h3> </div> <div class="d-flex flex-items-center"> <a href="/sponsors/carla-simulator" aria-label="Sponsor @carla-simulator" data-hydro-click="{"event_type":"sponsors.button_click","payload":{"button":"TOPIC_PAGE_SPONSOR","sponsorable_login":"carla-simulator","originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="8414186faeca37f62dc4901ddb5cd4c7438ff1af134d85dd2056ad785d4423eb" data-view-component="true" class="Button--secondary Button--small Button mr-2"> <span class="Button-content"> <span class="Button-label"><svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-heart icon-sponsor mr-1 v-align-middle color-fg-sponsors anim-pulse-in"> <path d="m8 14.25.345.666a.75.75 0 0 1-.69 0l-.008-.004-.018-.01a7.152 7.152 0 0 1-.31-.17 22.055 22.055 0 0 1-3.434-2.414C2.045 10.731 0 8.35 0 5.5 0 2.836 2.086 1 4.25 1 5.797 1 7.153 1.802 8 3.02 8.847 1.802 10.203 1 11.75 1 13.914 1 16 2.836 16 5.5c0 2.85-2.045 5.231-3.885 6.818a22.066 22.066 0 0 1-3.744 2.584l-.018.01-.006.003h-.002ZM4.25 2.5c-1.336 0-2.75 1.164-2.75 3 0 2.15 1.58 4.144 3.365 5.682A20.58 20.58 0 0 0 8 13.393a20.58 20.58 0 0 0 3.135-2.211C12.92 9.644 14.5 7.65 14.5 5.5c0-1.836-1.414-3-2.75-3-1.373 0-2.609.986-3.029 2.456a.749.749 0 0 1-1.442 0C6.859 3.486 5.623 2.5 4.25 2.5Z"></path> </svg> <span class="v-align-middle" > Sponsor </span></span> </span> </a> <div data-view-component="true" class="BtnGroup d-flex"> <a href="/login?return_to=%2Fcarla-simulator%2Fcarla" rel="nofollow" data-hydro-click="{"event_type":"authentication.click","payload":{"location_in_page":"star button","repository_id":108102826,"auth_type":"LOG_IN","originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="6f3647f6866e8289c5fcabf2bf04fb4e20d847097fabbf718142bb46367bfcae" aria-label="You must be signed in to star a repository" data-view-component="true" class="tooltipped tooltipped-sw btn-sm btn color-bg-default"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-star v-align-text-bottom d-inline-block mr-2"> <path d="M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z"></path> </svg><span data-view-component="true" class="d-inline"> Star </span> <span id="repo-stars-counter-star" aria-label="12238 users starred this repository" data-singular-suffix="user starred this repository" data-plural-suffix="users starred this repository" data-turbo-replace="true" title="12,238" data-view-component="true" class="Counter js-social-count">12.2k</span> </a></div> </div> </div> </div> <nav aria-label="Repository menu" data-view-component="true" class="tabnav px-3 mb-0"> <ul data-view-component="true" class="tabnav-tabs"> <li data-view-component="true" class="d-inline-flex"> <a id="code-tab-108102826" aria-current="true" href="/carla-simulator/carla" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"CODE_TAB","actor_id":null,"record_id":108102826,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="3beeabc1770ce848fbcb56e6fbf1896fd7bbd110cefb48a95d34c8f34d181310" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-code color-fg-default"> <path d="m11.28 3.22 4.25 4.25a.75.75 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.275-.326.749.749 0 0 1 .215-.734L13.94 8l-3.72-3.72a.749.749 0 0 1 .326-1.275.749.749 0 0 1 .734.215Zm-6.56 0a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042L2.06 8l3.72 3.72a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L.47 8.53a.75.75 0 0 1 0-1.06Z"></path> </svg> Code </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="issues-tab-108102826" href="/carla-simulator/carla/issues" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_ISSUES","click_visual_representation":"ISSUES_TAB","actor_id":null,"record_id":108102826,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="621fe3ee7fd615f1816ac9385506d921f7ddd8175316b9114bb8e89569e55d16" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-issue-opened color-fg-muted"> <path d="M8 9.5a1.5 1.5 0 1 0 0-3 1.5 1.5 0 0 0 0 3Z"></path><path d="M8 0a8 8 0 1 1 0 16A8 8 0 0 1 8 0ZM1.5 8a6.5 6.5 0 1 0 13 0 6.5 6.5 0 0 0-13 0Z"></path> </svg> Issues </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="pull-requests-tab-108102826" href="/carla-simulator/carla/pulls" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_PULL_REQUESTS","click_visual_representation":"PULL_REQUESTS_TAB","actor_id":null,"record_id":108102826,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="5bdf4277f635d6b56fd7ec7357080ccfb79b53599f190db1c896c393760a1685" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-git-pull-request color-fg-muted"> <path d="M1.5 3.25a2.25 2.25 0 1 1 3 2.122v5.256a2.251 2.251 0 1 1-1.5 0V5.372A2.25 2.25 0 0 1 1.5 3.25Zm5.677-.177L9.573.677A.25.25 0 0 1 10 .854V2.5h1A2.5 2.5 0 0 1 13.5 5v5.628a2.251 2.251 0 1 1-1.5 0V5a1 1 0 0 0-1-1h-1v1.646a.25.25 0 0 1-.427.177L7.177 3.427a.25.25 0 0 1 0-.354ZM3.75 2.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm0 9.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm8.25.75a.75.75 0 1 0 1.5 0 .75.75 0 0 0-1.5 0Z"></path> </svg> Pull requests </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="discussions-tab-108102826" href="/carla-simulator/carla/discussions" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_DISCUSSIONS","click_visual_representation":"DISCUSSIONS_TAB","actor_id":null,"record_id":108102826,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="808428e377c54eceebf7c004eed134532c62ad9a1168199ae5117c2b8d2e5e88" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-comment-discussion color-fg-muted"> <path d="M1.75 1h8.5c.966 0 1.75.784 1.75 1.75v5.5A1.75 1.75 0 0 1 10.25 10H7.061l-2.574 2.573A1.458 1.458 0 0 1 2 11.543V10h-.25A1.75 1.75 0 0 1 0 8.25v-5.5C0 1.784.784 1 1.75 1ZM1.5 2.75v5.5c0 .138.112.25.25.25h1a.75.75 0 0 1 .75.75v2.19l2.72-2.72a.749.749 0 0 1 .53-.22h3.5a.25.25 0 0 0 .25-.25v-5.5a.25.25 0 0 0-.25-.25h-8.5a.25.25 0 0 0-.25.25Zm13 2a.25.25 0 0 0-.25-.25h-.5a.75.75 0 0 1 0-1.5h.5c.966 0 1.75.784 1.75 1.75v5.5A1.75 1.75 0 0 1 14.25 12H14v1.543a1.458 1.458 0 0 1-2.487 1.03L9.22 12.28a.749.749 0 0 1 .326-1.275.749.749 0 0 1 .734.215l2.22 2.22v-2.19a.75.75 0 0 1 .75-.75h1a.25.25 0 0 0 .25-.25Z"></path> </svg> Discussions </a></li> </ul> </nav> <div class="color-bg-default rounded-bottom-2"> <div class="px-3 pt-3"> <p class="color-fg-muted mb-0" >Open-source simulator for autonomous driving research.</p> </div> <div class="d-flex flex-wrap border-bottom color-border-muted px-3 pt-2 pb-2"> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":7652,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="26409d343c2ab172a0da38f8293381733026b3b5a0e0c29ee24e857cf99e8ba7" title="Topic: simulator" href="/topics/simulator" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">simulator</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":8969,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="bf789a93ff81169f46e05e6f29ee63039fa2d55a84bc6df69ffb88b00b16e2ee" title="Topic: research" href="/topics/research" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">research</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":9116,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="280bfa1e13085447f9fdbf0fd8075a1acaabfda41c090a8bd8aca7f278b65aa6" title="Topic: ai" href="/topics/ai" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">ai</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":9187,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="554dad26635ba0eaaa2ec798eeccd8e3d566443e29b5be52ce6528abfbd30d9b" title="Topic: computer-vision" href="/topics/computer-vision" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">computer-vision</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":9290,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="675eafd3ddc01ced10443651e5f4df2b48879ed4b792e38932619b3e1a68625d" title="Topic: deep-learning" href="/topics/deep-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deep-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":9621,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="06d9614ebf16ac6fe94b2acd5cef81df38fd3979787ec87c16c45b5548d4b50c" title="Topic: cross-platform" href="/topics/cross-platform" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">cross-platform</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":21287,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="6e5f45a15f3529ef3430ac6207b0b2f886c6efd92ac3354a58d7e03c3065d44f" title="Topic: deep-reinforcement-learning" href="/topics/deep-reinforcement-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deep-reinforcement-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":24132,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="14732ba30b3a171594ee14a8aca9e2fe4ef3e2f6bfcff301ad365ee1b612c001" title="Topic: artificial-intelligence" href="/topics/artificial-intelligence" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">artificial-intelligence</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":27465,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="f671fc772da1d9fd28a5f40a5f293503a1f26ee423d3c3bd9d54ff8b92818caf" title="Topic: ros" href="/topics/ros" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">ros</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":60969,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="ab65bb735fe030d835eb4e95f8672bb91b6a30b509e5f4ada0e6cb7c5f7ad939" title="Topic: self-driving-car" href="/topics/self-driving-car" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">self-driving-car</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":84362,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="fc51ff21db109cf7d0c82d4e7df94203a14682e37436035de7c7f50c2f067ea6" title="Topic: ue4" href="/topics/ue4" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">ue4</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":150396,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="81c3f8d3bf7e7d264b3793b85518090fafb5953817b3e52a355bdebd0399fd82" title="Topic: autonomous-driving" href="/topics/autonomous-driving" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">autonomous-driving</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":150714,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="50f40f1b5f45b5bdcd181e4af66690a051387cf2c3939a20eddb9b0e4ba58017" title="Topic: autonomous-vehicles" href="/topics/autonomous-vehicles" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">autonomous-vehicles</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":219479,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="cf23d14320cc3b8edf0a82774fc3ee97772b679f37eb7a5feeee031c92b783c3" title="Topic: imitation-learning" href="/topics/imitation-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">imitation-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":367789,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="14035d4c35b2098024d99783e4a452c662a391a03c6c98d727223773159ce08b" title="Topic: unreal-engine-4" href="/topics/unreal-engine-4" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">unreal-engine-4</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":620153,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="2f57c0d9b0216ef83b822632bad819f72c2e3e0f68a457ee00c16a3c4a37a418" title="Topic: carla" href="/topics/carla" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">carla</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":710952,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="a217f402cc42f0d5c1557c9739416cd5ad3b62aa38cab8583ed7986e1a11851f" title="Topic: carla-simulator" href="/topics/carla-simulator" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">carla-simulator</a> </div> <div class="p-3"> <ul class="d-flex f6 list-style-none color-fg-muted"> <li class="mr-4"> Updated <relative-time datetime="2025-03-30T13:26:19Z" class="no-wrap">Mar 30, 2025</relative-time> </li> <li class="mr-4"> <span class="f6 my-1 ml-0"> <span class="repo-language-color" style="background-color: #f34b7d"></span> <span itemprop="programmingLanguage">C++</span> </span> </li> </ul> </div> </div> </article> <article class="border rounded color-shadow-small color-bg-subtle my-4"> <div class="px-3"> <div class="d-flex flex-justify-between flex-items-start flex-wrap gap-2 my-3"> <div class="d-flex flex-1"> <span style="margin-top:2px"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-repo color-fg-muted mr-2"> <path d="M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z"></path> </svg> </span> <h3 class="f3 color-fg-muted text-normal lh-condensed" > <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"OWNER","click_visual_representation":"REPOSITORY_OWNER_HEADING","actor_id":null,"record_id":68813910,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="bb1ffbf349629b5fa793054d2bde422889b971e98dbac83df29f35e50933768e" data-turbo="false" href="/AI4Finance-Foundation" data-view-component="true" class="Link">AI4Finance-Foundation</a> / <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"REPOSITORY_NAME_HEADING","actor_id":null,"record_id":282653872,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="9f578853f5c96afa93b1c8b8041162d872de289474aeed455b15c59e79c6708c" data-turbo="false" href="/AI4Finance-Foundation/FinRL" data-view-component="true" class="Link text-bold wb-break-word">FinRL</a> </h3> </div> <div class="d-flex flex-items-center"> <div data-view-component="true" class="BtnGroup d-flex"> <a href="/login?return_to=%2FAI4Finance-Foundation%2FFinRL" rel="nofollow" data-hydro-click="{"event_type":"authentication.click","payload":{"location_in_page":"star button","repository_id":282653872,"auth_type":"LOG_IN","originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="f18a38e36bba0bf6e612433d339f25f6307d1e7c9d5949a22ca83e9f6a6d2ec2" aria-label="You must be signed in to star a repository" data-view-component="true" class="tooltipped tooltipped-sw btn-sm btn color-bg-default"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-star v-align-text-bottom d-inline-block mr-2"> <path d="M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z"></path> </svg><span data-view-component="true" class="d-inline"> Star </span> <span id="repo-stars-counter-star" aria-label="11310 users starred this repository" data-singular-suffix="user starred this repository" data-plural-suffix="users starred this repository" data-turbo-replace="true" title="11,310" data-view-component="true" class="Counter js-social-count">11.3k</span> </a></div> </div> </div> </div> <nav aria-label="Repository menu" data-view-component="true" class="tabnav px-3 mb-0"> <ul data-view-component="true" class="tabnav-tabs"> <li data-view-component="true" class="d-inline-flex"> <a id="code-tab-282653872" aria-current="true" href="/AI4Finance-Foundation/FinRL" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"CODE_TAB","actor_id":null,"record_id":282653872,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="1ceb324e664ac091a2edcb77ff44d40c2bd43049a355f3167bcfca1b93f40963" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-code color-fg-default"> <path d="m11.28 3.22 4.25 4.25a.75.75 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.275-.326.749.749 0 0 1 .215-.734L13.94 8l-3.72-3.72a.749.749 0 0 1 .326-1.275.749.749 0 0 1 .734.215Zm-6.56 0a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042L2.06 8l3.72 3.72a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L.47 8.53a.75.75 0 0 1 0-1.06Z"></path> </svg> Code </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="issues-tab-282653872" href="/AI4Finance-Foundation/FinRL/issues" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_ISSUES","click_visual_representation":"ISSUES_TAB","actor_id":null,"record_id":282653872,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="784504cdce64e49e25bfd66dd1be5df83b34504c80b4d63860c299df8abc9ebf" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-issue-opened color-fg-muted"> <path d="M8 9.5a1.5 1.5 0 1 0 0-3 1.5 1.5 0 0 0 0 3Z"></path><path d="M8 0a8 8 0 1 1 0 16A8 8 0 0 1 8 0ZM1.5 8a6.5 6.5 0 1 0 13 0 6.5 6.5 0 0 0-13 0Z"></path> </svg> Issues </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="pull-requests-tab-282653872" href="/AI4Finance-Foundation/FinRL/pulls" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_PULL_REQUESTS","click_visual_representation":"PULL_REQUESTS_TAB","actor_id":null,"record_id":282653872,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="ef291d9dba051e23afebcd0b61fd2513bf4a0aa439692e72d1fccc81a9326630" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-git-pull-request color-fg-muted"> <path d="M1.5 3.25a2.25 2.25 0 1 1 3 2.122v5.256a2.251 2.251 0 1 1-1.5 0V5.372A2.25 2.25 0 0 1 1.5 3.25Zm5.677-.177L9.573.677A.25.25 0 0 1 10 .854V2.5h1A2.5 2.5 0 0 1 13.5 5v5.628a2.251 2.251 0 1 1-1.5 0V5a1 1 0 0 0-1-1h-1v1.646a.25.25 0 0 1-.427.177L7.177 3.427a.25.25 0 0 1 0-.354ZM3.75 2.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm0 9.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm8.25.75a.75.75 0 1 0 1.5 0 .75.75 0 0 0-1.5 0Z"></path> </svg> Pull requests </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="discussions-tab-282653872" href="/AI4Finance-Foundation/FinRL/discussions" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_DISCUSSIONS","click_visual_representation":"DISCUSSIONS_TAB","actor_id":null,"record_id":282653872,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="bf75b6226a8b0e4722bd82cc9ad31d029c7897f04bd2a7d804638d5a953a18eb" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-comment-discussion color-fg-muted"> <path d="M1.75 1h8.5c.966 0 1.75.784 1.75 1.75v5.5A1.75 1.75 0 0 1 10.25 10H7.061l-2.574 2.573A1.458 1.458 0 0 1 2 11.543V10h-.25A1.75 1.75 0 0 1 0 8.25v-5.5C0 1.784.784 1 1.75 1ZM1.5 2.75v5.5c0 .138.112.25.25.25h1a.75.75 0 0 1 .75.75v2.19l2.72-2.72a.749.749 0 0 1 .53-.22h3.5a.25.25 0 0 0 .25-.25v-5.5a.25.25 0 0 0-.25-.25h-8.5a.25.25 0 0 0-.25.25Zm13 2a.25.25 0 0 0-.25-.25h-.5a.75.75 0 0 1 0-1.5h.5c.966 0 1.75.784 1.75 1.75v5.5A1.75 1.75 0 0 1 14.25 12H14v1.543a1.458 1.458 0 0 1-2.487 1.03L9.22 12.28a.749.749 0 0 1 .326-1.275.749.749 0 0 1 .734.215l2.22 2.22v-2.19a.75.75 0 0 1 .75-.75h1a.25.25 0 0 0 .25-.25Z"></path> </svg> Discussions </a></li> </ul> </nav> <div class="color-bg-default rounded-bottom-2"> <div class="px-3 pt-3"> <p class="color-fg-muted mb-0" >FinRL®: Financial Reinforcement Learning. 🔥</p> </div> <div class="d-flex flex-wrap border-bottom color-border-muted px-3 pt-2 pb-2"> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":754,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="e537aedc895d7ed4fafd1243e55d9184122481b308b350ee6df99f562421d830" title="Topic: finance" href="/topics/finance" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">finance</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":21287,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="6e5f45a15f3529ef3430ac6207b0b2f886c6efd92ac3354a58d7e03c3065d44f" title="Topic: deep-reinforcement-learning" href="/topics/deep-reinforcement-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deep-reinforcement-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":21295,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="ea66f8055e2d827bd0079504354699100677f3b1f6e1b9a78ad3a202721d8c59" title="Topic: openai-gym" href="/topics/openai-gym" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">openai-gym</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":39140,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="0220a50d7ad2a1fece21d703504fc84723cb16ea91801d8fad5943dfa876d411" title="Topic: fintech" href="/topics/fintech" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">fintech</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":172052,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="ab436baf1ea5db40f67bb853d264bc872602679b86f8e0f5083e9f97ddcfffc3" title="Topic: algorithmic-trading" href="/topics/algorithmic-trading" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">algorithmic-trading</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":406783,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="d7781132ca2e8bc6502e2d47c88a4b6adfddb112067e77a4a515dbc223923924" title="Topic: stock-trading" href="/topics/stock-trading" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">stock-trading</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":455558,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="84e2b3b01cfceeae60193acad0837da46deb291cfeda78d53c1c0237c4b32e4b" title="Topic: multi-agent-learning" href="/topics/multi-agent-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">multi-agent-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":542870,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="7fc3df904022a31c0f973daac6bb6935ad2d744608717fa432c4729268e1abf3" title="Topic: stock-markets" href="/topics/stock-markets" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">stock-markets</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":894872,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="bedb780cc453a53ef2697f9e6783fa9c9a04c7cf98309df88cd5c6c0f9a877aa" title="Topic: pythorch" href="/topics/pythorch" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">pythorch</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":940558,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="d468fc0a9a5cde13733c2d136dcc56bb707e1ba77813c59389ee525bac5fb92a" title="Topic: tensorflow2" href="/topics/tensorflow2" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">tensorflow2</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":1427166,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="09d70dd028ce978cb7059fd5ac55cb5682285a3c16ecf4f0a44a9459908ad643" title="Topic: drl-trading-agents" href="/topics/drl-trading-agents" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">drl-trading-agents</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":1427167,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="35481fe5bb1a18d031ecabc904abde03fae6081bd4f79528bc8c281378acef45" title="Topic: drl-algorithms" href="/topics/drl-algorithms" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">drl-algorithms</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":1428766,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="575d6c83fd108f1d01eb8bc6b74bfa7d396c4f9bdd73b10ab518913b1820fcc4" title="Topic: drl-framework" href="/topics/drl-framework" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">drl-framework</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":1428767,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="eb821d6e0f2d3aefcccd8524267d56df6ea4ec8d92eae1913393d041e65ed634" title="Topic: trading-tasks" href="/topics/trading-tasks" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">trading-tasks</a> </div> <div class="p-3"> <ul class="d-flex f6 list-style-none color-fg-muted"> <li class="mr-4"> Updated <relative-time datetime="2025-04-01T01:43:53Z" class="no-wrap">Apr 1, 2025</relative-time> </li> <li class="mr-4"> <span class="f6 my-1 ml-0"> <span class="repo-language-color" style="background-color: #DA5B0B"></span> <span itemprop="programmingLanguage">Jupyter Notebook</span> </span> </li> </ul> </div> </div> </article> <article class="border rounded color-shadow-small color-bg-subtle my-4"> <div class="px-3"> <div class="d-flex flex-justify-between flex-items-start flex-wrap gap-2 my-3"> <div class="d-flex flex-1"> <span style="margin-top:2px"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-repo color-fg-muted mr-2"> <path d="M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z"></path> </svg> </span> <h3 class="f3 color-fg-muted text-normal lh-condensed" > <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"OWNER","click_visual_representation":"REPOSITORY_OWNER_HEADING","actor_id":null,"record_id":46047812,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="9b17a996100d241c25e3159a6f5e718f756402e16fd3c6a0c107fe4d401f1003" data-turbo="false" href="/datawhalechina" data-view-component="true" class="Link">datawhalechina</a> / <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"REPOSITORY_NAME_HEADING","actor_id":null,"record_id":276785864,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="a7344a422457521c7f073414de787dd8cd64b991520402ac54fd9cab04b58c71" data-turbo="false" href="/datawhalechina/easy-rl" data-view-component="true" class="Link text-bold wb-break-word">easy-rl</a> </h3> </div> <div class="d-flex flex-items-center"> <div data-view-component="true" class="BtnGroup d-flex"> <a href="/login?return_to=%2Fdatawhalechina%2Feasy-rl" rel="nofollow" data-hydro-click="{"event_type":"authentication.click","payload":{"location_in_page":"star button","repository_id":276785864,"auth_type":"LOG_IN","originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="b752afa3a8f3d9597f6f4414060abca326d619ededc449c4b6f7b42166e15ec0" aria-label="You must be signed in to star a repository" data-view-component="true" class="tooltipped tooltipped-sw btn-sm btn color-bg-default"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-star v-align-text-bottom d-inline-block mr-2"> <path d="M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z"></path> </svg><span data-view-component="true" class="d-inline"> Star </span> <span id="repo-stars-counter-star" aria-label="10790 users starred this repository" data-singular-suffix="user starred this repository" data-plural-suffix="users starred this repository" data-turbo-replace="true" title="10,790" data-view-component="true" class="Counter js-social-count">10.8k</span> </a></div> </div> </div> </div> <nav aria-label="Repository menu" data-view-component="true" class="tabnav px-3 mb-0"> <ul data-view-component="true" class="tabnav-tabs"> <li data-view-component="true" class="d-inline-flex"> <a id="code-tab-276785864" aria-current="true" href="/datawhalechina/easy-rl" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"CODE_TAB","actor_id":null,"record_id":276785864,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="e9f9ced69819e1b3ef2843c81a35d4642782dfea06b2a338e7eac04b4611bce7" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-code color-fg-default"> <path d="m11.28 3.22 4.25 4.25a.75.75 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.275-.326.749.749 0 0 1 .215-.734L13.94 8l-3.72-3.72a.749.749 0 0 1 .326-1.275.749.749 0 0 1 .734.215Zm-6.56 0a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042L2.06 8l3.72 3.72a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L.47 8.53a.75.75 0 0 1 0-1.06Z"></path> </svg> Code </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="issues-tab-276785864" href="/datawhalechina/easy-rl/issues" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_ISSUES","click_visual_representation":"ISSUES_TAB","actor_id":null,"record_id":276785864,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="adf824ea269525e809f2224f63cb2efbdb0ba157f83032fae94f4b7c2428edca" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-issue-opened color-fg-muted"> <path d="M8 9.5a1.5 1.5 0 1 0 0-3 1.5 1.5 0 0 0 0 3Z"></path><path d="M8 0a8 8 0 1 1 0 16A8 8 0 0 1 8 0ZM1.5 8a6.5 6.5 0 1 0 13 0 6.5 6.5 0 0 0-13 0Z"></path> </svg> Issues </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="pull-requests-tab-276785864" href="/datawhalechina/easy-rl/pulls" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_PULL_REQUESTS","click_visual_representation":"PULL_REQUESTS_TAB","actor_id":null,"record_id":276785864,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="39a19353266a04780819ebcee7346560fc2616ab53d7c8048783d871f93df9dc" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-git-pull-request color-fg-muted"> <path d="M1.5 3.25a2.25 2.25 0 1 1 3 2.122v5.256a2.251 2.251 0 1 1-1.5 0V5.372A2.25 2.25 0 0 1 1.5 3.25Zm5.677-.177L9.573.677A.25.25 0 0 1 10 .854V2.5h1A2.5 2.5 0 0 1 13.5 5v5.628a2.251 2.251 0 1 1-1.5 0V5a1 1 0 0 0-1-1h-1v1.646a.25.25 0 0 1-.427.177L7.177 3.427a.25.25 0 0 1 0-.354ZM3.75 2.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm0 9.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm8.25.75a.75.75 0 1 0 1.5 0 .75.75 0 0 0-1.5 0Z"></path> </svg> Pull requests </a></li> </ul> </nav> <div class="color-bg-default rounded-bottom-2"> <div class="px-3 pt-3"> <p class="color-fg-muted mb-0" >强化学习中文教程（蘑菇书🍄），在线阅读地址：<a href="https://datawhalechina.github.io/easy-rl/" class="Link--inTextBlock" rel="nofollow">https://datawhalechina.github.io/easy-rl/</a></p> </div> <div class="d-flex flex-wrap border-bottom color-border-muted px-3 pt-2 pb-2"> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":9047,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="1db29a5eca4ed8a7bc164cda58fd5a9087645f57c0109771c4c193c539c9fad2" title="Topic: reinforcement-learning" href="/topics/reinforcement-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">reinforcement-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":21287,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="6e5f45a15f3529ef3430ac6207b0b2f886c6efd92ac3354a58d7e03c3065d44f" title="Topic: deep-reinforcement-learning" href="/topics/deep-reinforcement-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deep-reinforcement-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":21327,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="04d2ab5358f6a601fc8bfccf076c32e040e01f49076ec1a58f5f9fe1ace03632" title="Topic: q-learning" href="/topics/q-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">q-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":44225,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="560e17eeda7964d612ed52c795540b556f8862d62ec512faed1d068efbbdebb9" title="Topic: dqn" href="/topics/dqn" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">dqn</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":59727,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="3731f57b4200d3fda0020d08de8e76c0911d1352189e3b778561aa82c44eb424" title="Topic: policy-gradient" href="/topics/policy-gradient" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">policy-gradient</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":60726,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="8b9d453b85fdbfb6447072b3f9cafcfc8dd71fdc77bc76d3c1b536507bb6574f" title="Topic: sarsa" href="/topics/sarsa" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">sarsa</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":95784,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="89028e6877470fb3aeacc401cf840d88ecb99b7ed6e74e97b3a7e7488057c360" title="Topic: a3c" href="/topics/a3c" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">a3c</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":217857,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="a53311609fa25aa9f91e7819ed990dd5735bfa3de6e7e2bfe896201ab66b5721" title="Topic: ddpg" href="/topics/ddpg" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">ddpg</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":219479,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="cf23d14320cc3b8edf0a82774fc3ee97772b679f37eb7a5feeee031c92b783c3" title="Topic: imitation-learning" href="/topics/imitation-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">imitation-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":403116,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="b25dcf154419a543ec382117e8646a44ab60e25c3160aab24975435e0e04ad90" title="Topic: double-dqn" href="/topics/double-dqn" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">double-dqn</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":475471,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="ed160022b34eb738d6d6b4cc66e2d2ea88147c0522922aebd2b502423fb962ef" title="Topic: dueling-dqn" href="/topics/dueling-dqn" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">dueling-dqn</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":551718,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="42d1b916f9aba1eafddf80f1be9a49dfc92fc186812051a50e5caf606aed953a" title="Topic: ppo" href="/topics/ppo" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">ppo</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":734903,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="5afb445832992732b1238581296c372e43c86895c6e9c53686b1f4b7385bfca8" title="Topic: td3" href="/topics/td3" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">td3</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":1674854,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="66c7b0a013f43f7400559facac46cfedf9d3fff58a4ba4bfa798621ecea872ba" title="Topic: easy-rl" href="/topics/easy-rl" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">easy-rl</a> </div> <div class="p-3"> <ul class="d-flex f6 list-style-none color-fg-muted"> <li class="mr-4"> Updated <relative-time datetime="2025-03-28T11:35:06Z" class="no-wrap">Mar 28, 2025</relative-time> </li> <li class="mr-4"> <span class="f6 my-1 ml-0"> <span class="repo-language-color" style="background-color: #DA5B0B"></span> <span itemprop="programmingLanguage">Jupyter Notebook</span> </span> </li> </ul> </div> </div> </article> <article class="border rounded color-shadow-small color-bg-subtle my-4"> <div class="px-3"> <div class="d-flex flex-justify-between flex-items-start flex-wrap gap-2 my-3"> <div class="d-flex flex-1"> <span style="margin-top:2px"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-repo color-fg-muted mr-2"> <path d="M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z"></path> </svg> </span> <h3 class="f3 color-fg-muted text-normal lh-condensed" > <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"OWNER","click_visual_representation":"REPOSITORY_OWNER_HEADING","actor_id":null,"record_id":536621,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="4aa7bcffeaed08999e83d8682b175c1c710f92debd0e2728aa0ee7b7e3919878" data-turbo="false" href="/lexfridman" data-view-component="true" class="Link">lexfridman</a> / <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"REPOSITORY_NAME_HEADING","actor_id":null,"record_id":78313173,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="82d81103debdce4649f9392f47c215de0db78586458ee6a86350309d21df9d4a" data-turbo="false" href="/lexfridman/mit-deep-learning" data-view-component="true" class="Link text-bold wb-break-word">mit-deep-learning</a> </h3> </div> <div class="d-flex flex-items-center"> <div data-view-component="true" class="BtnGroup d-flex"> <a href="/login?return_to=%2Flexfridman%2Fmit-deep-learning" rel="nofollow" data-hydro-click="{"event_type":"authentication.click","payload":{"location_in_page":"star button","repository_id":78313173,"auth_type":"LOG_IN","originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="9f02fc599db10145283b4f5fa3bdca085f1ce8da8ecd0d73e608829ebd2c941d" aria-label="You must be signed in to star a repository" data-view-component="true" class="tooltipped tooltipped-sw btn-sm btn color-bg-default"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-star v-align-text-bottom d-inline-block mr-2"> <path d="M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z"></path> </svg><span data-view-component="true" class="d-inline"> Star </span> <span id="repo-stars-counter-star" aria-label="10265 users starred this repository" data-singular-suffix="user starred this repository" data-plural-suffix="users starred this repository" data-turbo-replace="true" title="10,265" data-view-component="true" class="Counter js-social-count">10.3k</span> </a></div> </div> </div> </div> <nav aria-label="Repository menu" data-view-component="true" class="tabnav px-3 mb-0"> <ul data-view-component="true" class="tabnav-tabs"> <li data-view-component="true" class="d-inline-flex"> <a id="code-tab-78313173" aria-current="true" href="/lexfridman/mit-deep-learning" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"CODE_TAB","actor_id":null,"record_id":78313173,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="3fdd0d0e9c323d834d704c89b13c8652ec80d7539872ea99f583c7317abc5efc" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-code color-fg-default"> <path d="m11.28 3.22 4.25 4.25a.75.75 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.275-.326.749.749 0 0 1 .215-.734L13.94 8l-3.72-3.72a.749.749 0 0 1 .326-1.275.749.749 0 0 1 .734.215Zm-6.56 0a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042L2.06 8l3.72 3.72a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L.47 8.53a.75.75 0 0 1 0-1.06Z"></path> </svg> Code </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="issues-tab-78313173" href="/lexfridman/mit-deep-learning/issues" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_ISSUES","click_visual_representation":"ISSUES_TAB","actor_id":null,"record_id":78313173,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="5ec620e5bd50061665f0e3c9d7f17e69a4cac2d2aabfaea4e1c346a8237dfb8e" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-issue-opened color-fg-muted"> <path d="M8 9.5a1.5 1.5 0 1 0 0-3 1.5 1.5 0 0 0 0 3Z"></path><path d="M8 0a8 8 0 1 1 0 16A8 8 0 0 1 8 0ZM1.5 8a6.5 6.5 0 1 0 13 0 6.5 6.5 0 0 0-13 0Z"></path> </svg> Issues </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="pull-requests-tab-78313173" href="/lexfridman/mit-deep-learning/pulls" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_PULL_REQUESTS","click_visual_representation":"PULL_REQUESTS_TAB","actor_id":null,"record_id":78313173,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="f8f823f769e2846899e03358e0ede7a4fe566f7de56fc1a09be43814db62e147" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-git-pull-request color-fg-muted"> <path d="M1.5 3.25a2.25 2.25 0 1 1 3 2.122v5.256a2.251 2.251 0 1 1-1.5 0V5.372A2.25 2.25 0 0 1 1.5 3.25Zm5.677-.177L9.573.677A.25.25 0 0 1 10 .854V2.5h1A2.5 2.5 0 0 1 13.5 5v5.628a2.251 2.251 0 1 1-1.5 0V5a1 1 0 0 0-1-1h-1v1.646a.25.25 0 0 1-.427.177L7.177 3.427a.25.25 0 0 1 0-.354ZM3.75 2.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm0 9.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm8.25.75a.75.75 0 1 0 1.5 0 .75.75 0 0 0-1.5 0Z"></path> </svg> Pull requests </a></li> </ul> </nav> <div class="color-bg-default rounded-bottom-2"> <div class="px-3 pt-3"> <p class="color-fg-muted mb-0" >Tutorials, assignments, and competitions for MIT Deep Learning related courses.</p> </div> <div class="d-flex flex-wrap border-bottom color-border-muted px-3 pt-2 pb-2"> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":2129,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="e4849cbbeac869b073bb71d4c44c7d3c2d0e8ecd735aeb114f625075b6eb3d52" title="Topic: data-science" href="/topics/data-science" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">data-science</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":2169,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="1b2fc54a415f42bd2062de46d0121667f7a10e9de3faca3f7304874b2450fb4e" title="Topic: machine-learning" href="/topics/machine-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">machine-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":9168,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="e6930fb4f53db39c21c6ecf7534222f0302c48aba2409e63a83075801c2bc9f1" title="Topic: mit" href="/topics/mit" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">mit</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":9290,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="675eafd3ddc01ced10443651e5f4df2b48879ed4b792e38932619b3e1a68625d" title="Topic: deep-learning" href="/topics/deep-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deep-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":12734,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="e99a962ecb6fc1f4d18bf8f7bafe804378510a90a9e69d0e0cb010a005cbcf56" title="Topic: tensorflow" href="/topics/tensorflow" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">tensorflow</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":21287,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="6e5f45a15f3529ef3430ac6207b0b2f886c6efd92ac3354a58d7e03c3065d44f" title="Topic: deep-reinforcement-learning" href="/topics/deep-reinforcement-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deep-reinforcement-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":24132,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="14732ba30b3a171594ee14a8aca9e2fe4ef3e2f6bfcff301ad365ee1b612c001" title="Topic: artificial-intelligence" href="/topics/artificial-intelligence" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">artificial-intelligence</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":44842,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="2efee7ec345ed8ecf4efeaa35fec06d424153aec887876760e4135ddf1757083" title="Topic: neural-networks" href="/topics/neural-networks" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">neural-networks</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":74002,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="1b1888b6fc36837617e529ae9201fa5e66ac4105137ce4a0bcf14e7808087225" title="Topic: segmentation" href="/topics/segmentation" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">segmentation</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":75329,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="2eef2ee0db508a2cb8b90887e7df951c84313a0865e0f0a8ae3aba282d2c5cad" title="Topic: tensorflow-tutorials" href="/topics/tensorflow-tutorials" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">tensorflow-tutorials</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":84905,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="5b92ce0ef41ee2b4d5c3a63f2624a18d1fe0b867e7c005ad561c636ed840cb14" title="Topic: deeplearning" href="/topics/deeplearning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deeplearning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":135670,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="f49d72ede3b1e33d66cdf7b5ee10d3cdcb47d6dec2423b460676d245a0ad8a95" title="Topic: jupyter-notebooks" href="/topics/jupyter-notebooks" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">jupyter-notebooks</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":434782,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="75a132ff29da62e797daced20f64fc3a7a56e550a4047a948b00980b3241aea9" title="Topic: self-driving-cars" href="/topics/self-driving-cars" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">self-driving-cars</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":522512,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="45769bc9bc50918fde5bc98e151407474d0d855e69316a9c72efc1cacb7d91ab" title="Topic: deep-rl" href="/topics/deep-rl" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deep-rl</a> </div> <div class="p-3"> <ul class="d-flex f6 list-style-none color-fg-muted"> <li class="mr-4"> Updated <relative-time datetime="2024-01-03T13:54:05Z" class="no-wrap">Jan 3, 2024</relative-time> </li> <li class="mr-4"> <span class="f6 my-1 ml-0"> <span class="repo-language-color" style="background-color: #DA5B0B"></span> <span itemprop="programmingLanguage">Jupyter Notebook</span> </span> </li> </ul> </div> </div> </article> <article class="border rounded color-shadow-small color-bg-subtle my-4"> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"REPOSITORY_IMAGE","actor_id":null,"record_id":209556497,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="71d1ce77fb6c0ebddebc44e7aeeb8877b118cc66a35f46b49e18d0dc53f65052" data-turbo="false" style="max-height:275px" href="/evilsocket/pwnagotchi" data-view-component="true" class="overflow-hidden flex-items-center rounded-top-2 Link color-border-muted border-bottom d-flex position-relative"><img loading="lazy" src="https://repository-images.githubusercontent.com/209556497/61cc6400-f357-11e9-96aa-5b50c3e5f86a" alt="pwnagotchi" class="d-block width-full" ></a> <div class="px-3"> <div class="d-flex flex-justify-between flex-items-start flex-wrap gap-2 my-3"> <div class="d-flex flex-1"> <span style="margin-top:2px"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-repo color-fg-muted mr-2"> <path d="M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z"></path> </svg> </span> <h3 class="f3 color-fg-muted text-normal lh-condensed" > <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"OWNER","click_visual_representation":"REPOSITORY_OWNER_HEADING","actor_id":null,"record_id":86922,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="68f753b44450fb271e0b61b136f1a794eaea5d2f6a0ad57c31b33552fdf23898" data-turbo="false" href="/evilsocket" data-view-component="true" class="Link">evilsocket</a> / <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"REPOSITORY_NAME_HEADING","actor_id":null,"record_id":209556497,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="64449c4b084bdd1ff055705b10d5cdc4315c6787b7ed45c8ed404de5f03da557" data-turbo="false" href="/evilsocket/pwnagotchi" data-view-component="true" class="Link text-bold wb-break-word">pwnagotchi</a> </h3> </div> <div class="d-flex flex-items-center"> <a href="/sponsors/evilsocket" aria-label="Sponsor @evilsocket" data-hydro-click="{"event_type":"sponsors.button_click","payload":{"button":"TOPIC_PAGE_SPONSOR","sponsorable_login":"evilsocket","originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="b4ba0572912d1983b76fff4ffe1b1815d0fd038981776f605311e8c3abafe63a" data-view-component="true" class="Button--secondary Button--small Button mr-2"> <span class="Button-content"> <span class="Button-label"><svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-heart icon-sponsor mr-1 v-align-middle color-fg-sponsors anim-pulse-in"> <path d="m8 14.25.345.666a.75.75 0 0 1-.69 0l-.008-.004-.018-.01a7.152 7.152 0 0 1-.31-.17 22.055 22.055 0 0 1-3.434-2.414C2.045 10.731 0 8.35 0 5.5 0 2.836 2.086 1 4.25 1 5.797 1 7.153 1.802 8 3.02 8.847 1.802 10.203 1 11.75 1 13.914 1 16 2.836 16 5.5c0 2.85-2.045 5.231-3.885 6.818a22.066 22.066 0 0 1-3.744 2.584l-.018.01-.006.003h-.002ZM4.25 2.5c-1.336 0-2.75 1.164-2.75 3 0 2.15 1.58 4.144 3.365 5.682A20.58 20.58 0 0 0 8 13.393a20.58 20.58 0 0 0 3.135-2.211C12.92 9.644 14.5 7.65 14.5 5.5c0-1.836-1.414-3-2.75-3-1.373 0-2.609.986-3.029 2.456a.749.749 0 0 1-1.442 0C6.859 3.486 5.623 2.5 4.25 2.5Z"></path> </svg> <span class="v-align-middle" > Sponsor </span></span> </span> </a> <div data-view-component="true" class="BtnGroup d-flex"> <a href="/login?return_to=%2Fevilsocket%2Fpwnagotchi" rel="nofollow" data-hydro-click="{"event_type":"authentication.click","payload":{"location_in_page":"star button","repository_id":209556497,"auth_type":"LOG_IN","originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="e041b26056eb52caf0ff32c581593b15a255d3c6040f831bc1430a99bd5b4acb" aria-label="You must be signed in to star a repository" data-view-component="true" class="tooltipped tooltipped-sw btn-sm btn color-bg-default"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-star v-align-text-bottom d-inline-block mr-2"> <path d="M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z"></path> </svg><span data-view-component="true" class="d-inline"> Star </span> <span id="repo-stars-counter-star" aria-label="8207 users starred this repository" data-singular-suffix="user starred this repository" data-plural-suffix="users starred this repository" data-turbo-replace="true" title="8,207" data-view-component="true" class="Counter js-social-count">8.2k</span> </a></div> </div> </div> </div> <nav aria-label="Repository menu" data-view-component="true" class="tabnav px-3 mb-0"> <ul data-view-component="true" class="tabnav-tabs"> <li data-view-component="true" class="d-inline-flex"> <a id="code-tab-209556497" aria-current="true" href="/evilsocket/pwnagotchi" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"CODE_TAB","actor_id":null,"record_id":209556497,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="f3cc658b768cd5edc9f959e0482ab48bb1c9376e10e0fe99f22b7f2069a39acb" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-code color-fg-default"> <path d="m11.28 3.22 4.25 4.25a.75.75 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.275-.326.749.749 0 0 1 .215-.734L13.94 8l-3.72-3.72a.749.749 0 0 1 .326-1.275.749.749 0 0 1 .734.215Zm-6.56 0a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042L2.06 8l3.72 3.72a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L.47 8.53a.75.75 0 0 1 0-1.06Z"></path> </svg> Code </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="issues-tab-209556497" href="/evilsocket/pwnagotchi/issues" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_ISSUES","click_visual_representation":"ISSUES_TAB","actor_id":null,"record_id":209556497,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="12578e835d36c729ef9b392006eff711c6510a21785fcc2a50234fcb935decb1" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-issue-opened color-fg-muted"> <path d="M8 9.5a1.5 1.5 0 1 0 0-3 1.5 1.5 0 0 0 0 3Z"></path><path d="M8 0a8 8 0 1 1 0 16A8 8 0 0 1 8 0ZM1.5 8a6.5 6.5 0 1 0 13 0 6.5 6.5 0 0 0-13 0Z"></path> </svg> Issues </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="pull-requests-tab-209556497" href="/evilsocket/pwnagotchi/pulls" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_PULL_REQUESTS","click_visual_representation":"PULL_REQUESTS_TAB","actor_id":null,"record_id":209556497,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="0df296e03b95d6510b4267533f403179fcb9081c8c94ba3b6e4410d19117e19b" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-git-pull-request color-fg-muted"> <path d="M1.5 3.25a2.25 2.25 0 1 1 3 2.122v5.256a2.251 2.251 0 1 1-1.5 0V5.372A2.25 2.25 0 0 1 1.5 3.25Zm5.677-.177L9.573.677A.25.25 0 0 1 10 .854V2.5h1A2.5 2.5 0 0 1 13.5 5v5.628a2.251 2.251 0 1 1-1.5 0V5a1 1 0 0 0-1-1h-1v1.646a.25.25 0 0 1-.427.177L7.177 3.427a.25.25 0 0 1 0-.354ZM3.75 2.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm0 9.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm8.25.75a.75.75 0 1 0 1.5 0 .75.75 0 0 0-1.5 0Z"></path> </svg> Pull requests </a></li> </ul> </nav> <div class="color-bg-default rounded-bottom-2"> <div class="px-3 pt-3"> <p class="color-fg-muted mb-0" >(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.</p> </div> <div class="d-flex flex-wrap border-bottom color-border-muted px-3 pt-2 pb-2"> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":9116,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="280bfa1e13085447f9fdbf0fd8075a1acaabfda41c090a8bd8aca7f278b65aa6" title="Topic: ai" href="/topics/ai" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">ai</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":9290,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="675eafd3ddc01ced10443651e5f4df2b48879ed4b792e38932619b3e1a68625d" title="Topic: deep-learning" href="/topics/deep-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deep-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":21287,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="6e5f45a15f3529ef3430ac6207b0b2f886c6efd92ac3354a58d7e03c3065d44f" title="Topic: deep-reinforcement-learning" href="/topics/deep-reinforcement-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deep-reinforcement-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":160011,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="05f598256c684c026a1b36d00ab1d5c7a2a7cb830b046eeea940a1661aa476b7" title="Topic: wpa-psk" href="/topics/wpa-psk" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">wpa-psk</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":190424,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="42e85a8b4b385a64c6d4180c97a4f9360bc678542162bf638df5f0baba27cdae" title="Topic: bettercap" href="/topics/bettercap" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">bettercap</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":591038,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="b04d83f46222e63d7a9ae8f8d904ea5acdfd97837acc3b964831a69c293d10fc" title="Topic: deep-neural-network" href="/topics/deep-neural-network" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deep-neural-network</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":1098422,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="2fc7da42c7872e098b2886fbb868eb781cd13779b55d6bb3539b655f6dcd9062" title="Topic: handshakes" href="/topics/handshakes" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">handshakes</a> </div> <div class="p-3"> <ul class="d-flex f6 list-style-none color-fg-muted"> <li class="mr-4"> Updated <relative-time datetime="2025-03-31T09:38:00Z" class="no-wrap">Mar 31, 2025</relative-time> </li> <li class="mr-4"> <span class="f6 my-1 ml-0"> <span class="repo-language-color" style="background-color: #3572A5"></span> <span itemprop="programmingLanguage">Python</span> </span> </li> </ul> </div> </div> </article> <article class="border rounded color-shadow-small color-bg-subtle my-4"> <div class="px-3"> <div class="d-flex flex-justify-between flex-items-start flex-wrap gap-2 my-3"> <div class="d-flex flex-1"> <span style="margin-top:2px"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-repo color-fg-muted mr-2"> <path d="M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z"></path> </svg> </span> <h3 class="f3 color-fg-muted text-normal lh-condensed" > <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"OWNER","click_visual_representation":"REPOSITORY_OWNER_HEADING","actor_id":null,"record_id":1342004,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="6a01c8cf8c8766d0dc27910ffc605ab1c49c4a79af118bf04fe5bb714eb09753" data-turbo="false" href="/google" data-view-component="true" class="Link">google</a> / <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"REPOSITORY_NAME_HEADING","actor_id":null,"record_id":213020264,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="5b2462f9993ced86b2573a0d6c6537995a6a5af99886e7992140bb40d3f10b5e" data-turbo="false" href="/google/trax" data-view-component="true" class="Link text-bold wb-break-word">trax</a> </h3> </div> <div class="d-flex flex-items-center"> <div data-view-component="true" class="BtnGroup d-flex"> <a href="/login?return_to=%2Fgoogle%2Ftrax" rel="nofollow" data-hydro-click="{"event_type":"authentication.click","payload":{"location_in_page":"star button","repository_id":213020264,"auth_type":"LOG_IN","originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="8d0f2c5c375f2a7eee18de8ea90d76a064c7740f64088eea50bebe79d1c25c8b" aria-label="You must be signed in to star a repository" data-view-component="true" class="tooltipped tooltipped-sw btn-sm btn color-bg-default"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-star v-align-text-bottom d-inline-block mr-2"> <path d="M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z"></path> </svg><span data-view-component="true" class="d-inline"> Star </span> <span id="repo-stars-counter-star" aria-label="8183 users starred this repository" data-singular-suffix="user starred this repository" data-plural-suffix="users starred this repository" data-turbo-replace="true" title="8,183" data-view-component="true" class="Counter js-social-count">8.2k</span> </a></div> </div> </div> </div> <nav aria-label="Repository menu" data-view-component="true" class="tabnav px-3 mb-0"> <ul data-view-component="true" class="tabnav-tabs"> <li data-view-component="true" class="d-inline-flex"> <a id="code-tab-213020264" aria-current="true" href="/google/trax" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"CODE_TAB","actor_id":null,"record_id":213020264,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="85130f9ccb60847c3091de24ec3a0658bb9efd5958fa05f9708cf47d92462d03" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-code color-fg-default"> <path d="m11.28 3.22 4.25 4.25a.75.75 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.275-.326.749.749 0 0 1 .215-.734L13.94 8l-3.72-3.72a.749.749 0 0 1 .326-1.275.749.749 0 0 1 .734.215Zm-6.56 0a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042L2.06 8l3.72 3.72a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L.47 8.53a.75.75 0 0 1 0-1.06Z"></path> </svg> Code </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="issues-tab-213020264" href="/google/trax/issues" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_ISSUES","click_visual_representation":"ISSUES_TAB","actor_id":null,"record_id":213020264,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="e4d6567f776dce3d27ae43221750994b3e66e78b86c3efc81fff25d2965366c7" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-issue-opened color-fg-muted"> <path d="M8 9.5a1.5 1.5 0 1 0 0-3 1.5 1.5 0 0 0 0 3Z"></path><path d="M8 0a8 8 0 1 1 0 16A8 8 0 0 1 8 0ZM1.5 8a6.5 6.5 0 1 0 13 0 6.5 6.5 0 0 0-13 0Z"></path> </svg> Issues </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="pull-requests-tab-213020264" href="/google/trax/pulls" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_PULL_REQUESTS","click_visual_representation":"PULL_REQUESTS_TAB","actor_id":null,"record_id":213020264,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="4ad90f8e023cf2342024d27d172bd589727a7839e55d63b36ac4fe0c917c23d5" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-git-pull-request color-fg-muted"> <path d="M1.5 3.25a2.25 2.25 0 1 1 3 2.122v5.256a2.251 2.251 0 1 1-1.5 0V5.372A2.25 2.25 0 0 1 1.5 3.25Zm5.677-.177L9.573.677A.25.25 0 0 1 10 .854V2.5h1A2.5 2.5 0 0 1 13.5 5v5.628a2.251 2.251 0 1 1-1.5 0V5a1 1 0 0 0-1-1h-1v1.646a.25.25 0 0 1-.427.177L7.177 3.427a.25.25 0 0 1 0-.354ZM3.75 2.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm0 9.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm8.25.75a.75.75 0 1 0 1.5 0 .75.75 0 0 0-1.5 0Z"></path> </svg> Pull requests </a></li> </ul> </nav> <div class="color-bg-default rounded-bottom-2"> <div class="px-3 pt-3"> <p class="color-fg-muted mb-0" >Trax — Deep Learning with Clear Code and Speed</p> </div> <div class="d-flex flex-wrap border-bottom color-border-muted px-3 pt-2 pb-2"> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":2169,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="1b2fc54a415f42bd2062de46d0121667f7a10e9de3faca3f7304874b2450fb4e" title="Topic: machine-learning" href="/topics/machine-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">machine-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":9047,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="1db29a5eca4ed8a7bc164cda58fd5a9087645f57c0109771c4c193c539c9fad2" title="Topic: reinforcement-learning" href="/topics/reinforcement-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">reinforcement-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":9290,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="675eafd3ddc01ced10443651e5f4df2b48879ed4b792e38932619b3e1a68625d" title="Topic: deep-learning" href="/topics/deep-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deep-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":13250,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="99b811fd18bba40245413fb21bb7214f8e3426a0b46ec551741aa172f6aa50ab" title="Topic: numpy" href="/topics/numpy" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">numpy</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":21287,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="6e5f45a15f3529ef3430ac6207b0b2f886c6efd92ac3354a58d7e03c3065d44f" title="Topic: deep-reinforcement-learning" href="/topics/deep-reinforcement-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deep-reinforcement-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":35047,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="ea71a02c5f3a2d90a4dc91190948b05a60782266c8600900078353ca38018dc5" title="Topic: transformer" href="/topics/transformer" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">transformer</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":664745,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="973b3d9720ff8b5fbcc67a6ba60dd2907563f31a7624369a1bb9f37045f092ae" title="Topic: jax" href="/topics/jax" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">jax</a> </div> <div class="p-3"> <ul class="d-flex f6 list-style-none color-fg-muted"> <li class="mr-4"> Updated <relative-time datetime="2025-02-07T17:26:26Z" class="no-wrap">Feb 7, 2025</relative-time> </li> <li class="mr-4"> <span class="f6 my-1 ml-0"> <span class="repo-language-color" style="background-color: #3572A5"></span> <span itemprop="programmingLanguage">Python</span> </span> </li> </ul> </div> </div> </article> <article class="border rounded color-shadow-small color-bg-subtle my-4"> <div class="px-3"> <div class="d-flex flex-justify-between flex-items-start flex-wrap gap-2 my-3"> <div class="d-flex flex-1"> <span style="margin-top:2px"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-repo color-fg-muted mr-2"> <path d="M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z"></path> </svg> </span> <h3 class="f3 color-fg-muted text-normal lh-condensed" > <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"OWNER","click_visual_representation":"REPOSITORY_OWNER_HEADING","actor_id":null,"record_id":188774948,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="35763d49a0d8fa65e36a11ec05db5812943aca170f3461cb1c9e9e63ce945ec6" data-turbo="false" href="/MITDeepLearning" data-view-component="true" class="Link">MITDeepLearning</a> / <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"REPOSITORY_NAME_HEADING","actor_id":null,"record_id":119285689,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="06095d8a7ec3ebc41f952b49492104cf87bb5066fba5d00a278b18fcd04c2717" data-turbo="false" href="/MITDeepLearning/introtodeeplearning" data-view-component="true" class="Link text-bold wb-break-word">introtodeeplearning</a> </h3> </div> <div class="d-flex flex-items-center"> <div data-view-component="true" class="BtnGroup d-flex"> <a href="/login?return_to=%2FMITDeepLearning%2Fintrotodeeplearning" rel="nofollow" data-hydro-click="{"event_type":"authentication.click","payload":{"location_in_page":"star button","repository_id":119285689,"auth_type":"LOG_IN","originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="a7052fe7640bf6fc4a58fb1817edffb82d444d4237492054ae4d05c625d9d012" aria-label="You must be signed in to star a repository" data-view-component="true" class="tooltipped tooltipped-sw btn-sm btn color-bg-default"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-star v-align-text-bottom d-inline-block mr-2"> <path d="M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z"></path> </svg><span data-view-component="true" class="d-inline"> Star </span> <span id="repo-stars-counter-star" aria-label="7668 users starred this repository" data-singular-suffix="user starred this repository" data-plural-suffix="users starred this repository" data-turbo-replace="true" title="7,668" data-view-component="true" class="Counter js-social-count">7.7k</span> </a></div> </div> </div> </div> <nav aria-label="Repository menu" data-view-component="true" class="tabnav px-3 mb-0"> <ul data-view-component="true" class="tabnav-tabs"> <li data-view-component="true" class="d-inline-flex"> <a id="code-tab-119285689" aria-current="true" href="/MITDeepLearning/introtodeeplearning" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"CODE_TAB","actor_id":null,"record_id":119285689,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="ef7dd1224b21b2f766ecd57ac1df6dfc42d0e79148a60af91ed5f02d64b6c108" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-code color-fg-default"> <path d="m11.28 3.22 4.25 4.25a.75.75 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.275-.326.749.749 0 0 1 .215-.734L13.94 8l-3.72-3.72a.749.749 0 0 1 .326-1.275.749.749 0 0 1 .734.215Zm-6.56 0a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042L2.06 8l3.72 3.72a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L.47 8.53a.75.75 0 0 1 0-1.06Z"></path> </svg> Code </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="issues-tab-119285689" href="/MITDeepLearning/introtodeeplearning/issues" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_ISSUES","click_visual_representation":"ISSUES_TAB","actor_id":null,"record_id":119285689,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="b749fb962e529eaf9ca989f3bff83f68d7993fb74a59755cf2e1e193687545c7" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-issue-opened color-fg-muted"> <path d="M8 9.5a1.5 1.5 0 1 0 0-3 1.5 1.5 0 0 0 0 3Z"></path><path d="M8 0a8 8 0 1 1 0 16A8 8 0 0 1 8 0ZM1.5 8a6.5 6.5 0 1 0 13 0 6.5 6.5 0 0 0-13 0Z"></path> </svg> Issues </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="pull-requests-tab-119285689" href="/MITDeepLearning/introtodeeplearning/pulls" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_PULL_REQUESTS","click_visual_representation":"PULL_REQUESTS_TAB","actor_id":null,"record_id":119285689,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="97603df7363f7133d4b79091d539b5989b1e88ee77e6d5b94402ab0452c946b9" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-git-pull-request color-fg-muted"> <path d="M1.5 3.25a2.25 2.25 0 1 1 3 2.122v5.256a2.251 2.251 0 1 1-1.5 0V5.372A2.25 2.25 0 0 1 1.5 3.25Zm5.677-.177L9.573.677A.25.25 0 0 1 10 .854V2.5h1A2.5 2.5 0 0 1 13.5 5v5.628a2.251 2.251 0 1 1-1.5 0V5a1 1 0 0 0-1-1h-1v1.646a.25.25 0 0 1-.427.177L7.177 3.427a.25.25 0 0 1 0-.354ZM3.75 2.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm0 9.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm8.25.75a.75.75 0 1 0 1.5 0 .75.75 0 0 0-1.5 0Z"></path> </svg> Pull requests </a></li> </ul> </nav> <div class="color-bg-default rounded-bottom-2"> <div class="px-3 pt-3"> <p class="color-fg-muted mb-0" >Lab Materials for MIT 6.S191: Introduction to Deep Learning</p> </div> <div class="d-flex flex-wrap border-bottom color-border-muted px-3 pt-2 pb-2"> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":9168,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="e6930fb4f53db39c21c6ecf7534222f0302c48aba2409e63a83075801c2bc9f1" title="Topic: mit" href="/topics/mit" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">mit</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":9187,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="554dad26635ba0eaaa2ec798eeccd8e3d566443e29b5be52ce6528abfbd30d9b" title="Topic: computer-vision" href="/topics/computer-vision" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">computer-vision</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":9290,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="675eafd3ddc01ced10443651e5f4df2b48879ed4b792e38932619b3e1a68625d" title="Topic: deep-learning" href="/topics/deep-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deep-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":12734,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="e99a962ecb6fc1f4d18bf8f7bafe804378510a90a9e69d0e0cb010a005cbcf56" title="Topic: tensorflow" href="/topics/tensorflow" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">tensorflow</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":21287,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="6e5f45a15f3529ef3430ac6207b0b2f886c6efd92ac3354a58d7e03c3065d44f" title="Topic: deep-reinforcement-learning" href="/topics/deep-reinforcement-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deep-reinforcement-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":23301,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="fc0347ca09b2728d8f6ca6339dd8db968451870aabd63be153082b1f6017490f" title="Topic: pytorch" href="/topics/pytorch" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">pytorch</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":44842,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="2efee7ec345ed8ecf4efeaa35fec06d424153aec887876760e4135ddf1757083" title="Topic: neural-networks" href="/topics/neural-networks" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">neural-networks</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":75329,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="2eef2ee0db508a2cb8b90887e7df951c84313a0865e0f0a8ae3aba282d2c5cad" title="Topic: tensorflow-tutorials" href="/topics/tensorflow-tutorials" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">tensorflow-tutorials</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":84905,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="5b92ce0ef41ee2b4d5c3a63f2624a18d1fe0b867e7c005ad561c636ed840cb14" title="Topic: deeplearning" href="/topics/deeplearning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deeplearning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":135670,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="f49d72ede3b1e33d66cdf7b5ee10d3cdcb47d6dec2423b460676d245a0ad8a95" title="Topic: jupyter-notebooks" href="/topics/jupyter-notebooks" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">jupyter-notebooks</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":150946,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="6515bd614ad6fdc7171d4b7e91380021a19e507d5750980d1aa6836035ce0a80" title="Topic: music-generation" href="/topics/music-generation" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">music-generation</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":414776,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="e8d0de188a541bac08a8963e380e3cde367578c181d4ecb765f3c5785d664e27" title="Topic: pytorch-tutorial" href="/topics/pytorch-tutorial" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">pytorch-tutorial</a> </div> <div class="p-3"> <ul class="d-flex f6 list-style-none color-fg-muted"> <li class="mr-4"> Updated <relative-time datetime="2025-01-08T17:44:34Z" class="no-wrap">Jan 8, 2025</relative-time> </li> <li class="mr-4"> <span class="f6 my-1 ml-0"> <span class="repo-language-color" style="background-color: #DA5B0B"></span> <span itemprop="programmingLanguage">Jupyter Notebook</span> </span> </li> </ul> </div> </div> </article> <article class="border rounded color-shadow-small color-bg-subtle my-4"> <div class="px-3"> <div class="d-flex flex-justify-between flex-items-start flex-wrap gap-2 my-3"> <div class="d-flex flex-1"> <span style="margin-top:2px"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-repo color-fg-muted mr-2"> <path d="M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z"></path> </svg> </span> <h3 class="f3 color-fg-muted text-normal lh-condensed" > <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"OWNER","click_visual_representation":"REPOSITORY_OWNER_HEADING","actor_id":null,"record_id":7057863,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="eda330fa85608e7c36b7641d03f9cf857d86abf7e4d214ee6f0fce6ec5a7de3a" data-turbo="false" href="/yenchenlin" data-view-component="true" class="Link">yenchenlin</a> / <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"REPOSITORY_NAME_HEADING","actor_id":null,"record_id":53912913,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="d224d520a67288945c4d6be2bbc54858e69b9a9cc9421532d52447078c0f4bba" data-turbo="false" href="/yenchenlin/DeepLearningFlappyBird" data-view-component="true" class="Link text-bold wb-break-word">DeepLearningFlappyBird</a> </h3> </div> <div class="d-flex flex-items-center"> <div data-view-component="true" class="BtnGroup d-flex"> <a href="/login?return_to=%2Fyenchenlin%2FDeepLearningFlappyBird" rel="nofollow" data-hydro-click="{"event_type":"authentication.click","payload":{"location_in_page":"star button","repository_id":53912913,"auth_type":"LOG_IN","originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="9bad1f7dd034fe5ea35438fd1d39fe9f0ef5c591e6830c183f048aac8cd29242" aria-label="You must be signed in to star a repository" data-view-component="true" class="tooltipped tooltipped-sw btn-sm btn color-bg-default"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-star v-align-text-bottom d-inline-block mr-2"> <path d="M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z"></path> </svg><span data-view-component="true" class="d-inline"> Star </span> <span id="repo-stars-counter-star" aria-label="6720 users starred this repository" data-singular-suffix="user starred this repository" data-plural-suffix="users starred this repository" data-turbo-replace="true" title="6,720" data-view-component="true" class="Counter js-social-count">6.7k</span> </a></div> </div> </div> </div> <nav aria-label="Repository menu" data-view-component="true" class="tabnav px-3 mb-0"> <ul data-view-component="true" class="tabnav-tabs"> <li data-view-component="true" class="d-inline-flex"> <a id="code-tab-53912913" aria-current="true" href="/yenchenlin/DeepLearningFlappyBird" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"CODE_TAB","actor_id":null,"record_id":53912913,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="b87923aa27650081a9787a9353a49dd49cb3408afc4cc4dbd223f809669d5f3e" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-code color-fg-default"> <path d="m11.28 3.22 4.25 4.25a.75.75 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.275-.326.749.749 0 0 1 .215-.734L13.94 8l-3.72-3.72a.749.749 0 0 1 .326-1.275.749.749 0 0 1 .734.215Zm-6.56 0a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042L2.06 8l3.72 3.72a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L.47 8.53a.75.75 0 0 1 0-1.06Z"></path> </svg> Code </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="issues-tab-53912913" href="/yenchenlin/DeepLearningFlappyBird/issues" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_ISSUES","click_visual_representation":"ISSUES_TAB","actor_id":null,"record_id":53912913,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="bc63b7f45dfac0d3bee9edce0ef08ec6108459057ecb020038e746e39c75e7d0" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-issue-opened color-fg-muted"> <path d="M8 9.5a1.5 1.5 0 1 0 0-3 1.5 1.5 0 0 0 0 3Z"></path><path d="M8 0a8 8 0 1 1 0 16A8 8 0 0 1 8 0ZM1.5 8a6.5 6.5 0 1 0 13 0 6.5 6.5 0 0 0-13 0Z"></path> </svg> Issues </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="pull-requests-tab-53912913" href="/yenchenlin/DeepLearningFlappyBird/pulls" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_PULL_REQUESTS","click_visual_representation":"PULL_REQUESTS_TAB","actor_id":null,"record_id":53912913,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="a8cc5a0b9f2832fe55670d116fe333e1f85eb84be381fc3384dc59543221eee0" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-git-pull-request color-fg-muted"> <path d="M1.5 3.25a2.25 2.25 0 1 1 3 2.122v5.256a2.251 2.251 0 1 1-1.5 0V5.372A2.25 2.25 0 0 1 1.5 3.25Zm5.677-.177L9.573.677A.25.25 0 0 1 10 .854V2.5h1A2.5 2.5 0 0 1 13.5 5v5.628a2.251 2.251 0 1 1-1.5 0V5a1 1 0 0 0-1-1h-1v1.646a.25.25 0 0 1-.427.177L7.177 3.427a.25.25 0 0 1 0-.354ZM3.75 2.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm0 9.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm8.25.75a.75.75 0 1 0 1.5 0 .75.75 0 0 0-1.5 0Z"></path> </svg> Pull requests </a></li> </ul> </nav> <div class="color-bg-default rounded-bottom-2"> <div class="px-3 pt-3"> <p class="color-fg-muted mb-0" >Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).</p> </div> <div class="d-flex flex-wrap border-bottom color-border-muted px-3 pt-2 pb-2"> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":70,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="6ca59a41f9446a8ed6c6b465d038a810c23c45800187874a03c601fb613b5313" title="Topic: game" href="/topics/game" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">game</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":9290,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="675eafd3ddc01ced10443651e5f4df2b48879ed4b792e38932619b3e1a68625d" title="Topic: deep-learning" href="/topics/deep-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deep-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":21287,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="6e5f45a15f3529ef3430ac6207b0b2f886c6efd92ac3354a58d7e03c3065d44f" title="Topic: deep-reinforcement-learning" href="/topics/deep-reinforcement-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deep-reinforcement-learning</a> </div> <div class="p-3"> <ul class="d-flex f6 list-style-none color-fg-muted"> <li class="mr-4"> Updated <relative-time datetime="2024-08-07T16:58:16Z" class="no-wrap">Aug 7, 2024</relative-time> </li> <li class="mr-4"> <span class="f6 my-1 ml-0"> <span class="repo-language-color" style="background-color: #3572A5"></span> <span itemprop="programmingLanguage">Python</span> </span> </li> </ul> </div> </div> </article> <article class="border rounded color-shadow-small color-bg-subtle my-4"> <div class="px-3"> <div class="d-flex flex-justify-between flex-items-start flex-wrap gap-2 my-3"> <div class="d-flex flex-1"> <span style="margin-top:2px"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-repo color-fg-muted mr-2"> <path d="M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z"></path> </svg> </span> <h3 class="f3 color-fg-muted text-normal lh-condensed" > <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"OWNER","click_visual_representation":"REPOSITORY_OWNER_HEADING","actor_id":null,"record_id":5555347,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="47a96524a5e6810e27993c0843cf78be5301e41f3d2d972b05f8dc1c28358cdc" data-turbo="false" href="/vwxyzjn" data-view-component="true" class="Link">vwxyzjn</a> / <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"REPOSITORY_NAME_HEADING","actor_id":null,"record_id":190776339,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="b8173f709d4aa181a1f93d5fcdb3d36bc2602acc98a8e70c49e687d29e0d3726" data-turbo="false" href="/vwxyzjn/cleanrl" data-view-component="true" class="Link text-bold wb-break-word">cleanrl</a> </h3> </div> <div class="d-flex flex-items-center"> <div data-view-component="true" class="BtnGroup d-flex"> <a href="/login?return_to=%2Fvwxyzjn%2Fcleanrl" rel="nofollow" data-hydro-click="{"event_type":"authentication.click","payload":{"location_in_page":"star button","repository_id":190776339,"auth_type":"LOG_IN","originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="faad4812c49d18f02ab837296652b62e2cb7e44d6aa00bcdfcec47d3e0e35b5d" aria-label="You must be signed in to star a repository" data-view-component="true" class="tooltipped tooltipped-sw btn-sm btn color-bg-default"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-star v-align-text-bottom d-inline-block mr-2"> <path d="M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z"></path> </svg><span data-view-component="true" class="d-inline"> Star </span> <span id="repo-stars-counter-star" aria-label="6663 users starred this repository" data-singular-suffix="user starred this repository" data-plural-suffix="users starred this repository" data-turbo-replace="true" title="6,663" data-view-component="true" class="Counter js-social-count">6.7k</span> </a></div> </div> </div> </div> <nav aria-label="Repository menu" data-view-component="true" class="tabnav px-3 mb-0"> <ul data-view-component="true" class="tabnav-tabs"> <li data-view-component="true" class="d-inline-flex"> <a id="code-tab-190776339" aria-current="true" href="/vwxyzjn/cleanrl" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"CODE_TAB","actor_id":null,"record_id":190776339,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="547b9733af7705bfa6f8a09099c48bfae41ab83bd4ee057309c6a64bd59dd162" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-code color-fg-default"> <path d="m11.28 3.22 4.25 4.25a.75.75 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.275-.326.749.749 0 0 1 .215-.734L13.94 8l-3.72-3.72a.749.749 0 0 1 .326-1.275.749.749 0 0 1 .734.215Zm-6.56 0a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042L2.06 8l3.72 3.72a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L.47 8.53a.75.75 0 0 1 0-1.06Z"></path> </svg> Code </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="issues-tab-190776339" href="/vwxyzjn/cleanrl/issues" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_ISSUES","click_visual_representation":"ISSUES_TAB","actor_id":null,"record_id":190776339,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="138157492b8b0d97972199678306f496c5f8967240e7cc5925c85ddefa8080a3" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-issue-opened color-fg-muted"> <path d="M8 9.5a1.5 1.5 0 1 0 0-3 1.5 1.5 0 0 0 0 3Z"></path><path d="M8 0a8 8 0 1 1 0 16A8 8 0 0 1 8 0ZM1.5 8a6.5 6.5 0 1 0 13 0 6.5 6.5 0 0 0-13 0Z"></path> </svg> Issues </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="pull-requests-tab-190776339" href="/vwxyzjn/cleanrl/pulls" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_PULL_REQUESTS","click_visual_representation":"PULL_REQUESTS_TAB","actor_id":null,"record_id":190776339,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="ac079939b1ed229087c39271016d91e1833ae292024d691b613dc5822be9f711" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-git-pull-request color-fg-muted"> <path d="M1.5 3.25a2.25 2.25 0 1 1 3 2.122v5.256a2.251 2.251 0 1 1-1.5 0V5.372A2.25 2.25 0 0 1 1.5 3.25Zm5.677-.177L9.573.677A.25.25 0 0 1 10 .854V2.5h1A2.5 2.5 0 0 1 13.5 5v5.628a2.251 2.251 0 1 1-1.5 0V5a1 1 0 0 0-1-1h-1v1.646a.25.25 0 0 1-.427.177L7.177 3.427a.25.25 0 0 1 0-.354ZM3.75 2.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm0 9.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm8.25.75a.75.75 0 1 0 1.5 0 .75.75 0 0 0-1.5 0Z"></path> </svg> Pull requests </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="discussions-tab-190776339" href="/vwxyzjn/cleanrl/discussions" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_DISCUSSIONS","click_visual_representation":"DISCUSSIONS_TAB","actor_id":null,"record_id":190776339,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="7fe86d8839f4e952e199eb83e65962f4be7026158c943d7bfa816dd101b24e15" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-comment-discussion color-fg-muted"> <path d="M1.75 1h8.5c.966 0 1.75.784 1.75 1.75v5.5A1.75 1.75 0 0 1 10.25 10H7.061l-2.574 2.573A1.458 1.458 0 0 1 2 11.543V10h-.25A1.75 1.75 0 0 1 0 8.25v-5.5C0 1.784.784 1 1.75 1ZM1.5 2.75v5.5c0 .138.112.25.25.25h1a.75.75 0 0 1 .75.75v2.19l2.72-2.72a.749.749 0 0 1 .53-.22h3.5a.25.25 0 0 0 .25-.25v-5.5a.25.25 0 0 0-.25-.25h-8.5a.25.25 0 0 0-.25.25Zm13 2a.25.25 0 0 0-.25-.25h-.5a.75.75 0 0 1 0-1.5h.5c.966 0 1.75.784 1.75 1.75v5.5A1.75 1.75 0 0 1 14.25 12H14v1.543a1.458 1.458 0 0 1-2.487 1.03L9.22 12.28a.749.749 0 0 1 .326-1.275.749.749 0 0 1 .734.215l2.22 2.22v-2.19a.75.75 0 0 1 .75-.75h1a.25.25 0 0 0 .25-.25Z"></path> </svg> Discussions </a></li> </ul> </nav> <div class="color-bg-default rounded-bottom-2"> <div class="px-3 pt-3"> <p class="color-fg-muted mb-0" >High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)</p> </div> <div class="d-flex flex-wrap border-bottom color-border-muted px-3 pt-2 pb-2"> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":84,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="5825487bd1090a5e2bbd25e33138354303ddd6328d1e778b1d09cc8b622032da" title="Topic: python" href="/topics/python" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">python</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":2169,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="1b2fc54a415f42bd2062de46d0121667f7a10e9de3faca3f7304874b2450fb4e" title="Topic: machine-learning" href="/topics/machine-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">machine-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":9047,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="1db29a5eca4ed8a7bc164cda58fd5a9087645f57c0109771c4c193c539c9fad2" title="Topic: reinforcement-learning" href="/topics/reinforcement-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">reinforcement-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":9290,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="675eafd3ddc01ced10443651e5f4df2b48879ed4b792e38932619b3e1a68625d" title="Topic: deep-learning" href="/topics/deep-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deep-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":21287,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="6e5f45a15f3529ef3430ac6207b0b2f886c6efd92ac3354a58d7e03c3065d44f" title="Topic: deep-reinforcement-learning" href="/topics/deep-reinforcement-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deep-reinforcement-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":23301,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="fc0347ca09b2728d8f6ca6339dd8db968451870aabd63be153082b1f6017490f" title="Topic: pytorch" href="/topics/pytorch" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">pytorch</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":44690,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="da28ba5bdc9ef6d9770d8f6255646598024feb4cefbe609f97348f20edb1ddbf" title="Topic: gym" href="/topics/gym" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">gym</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":118545,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="128b6c0677d4b840d7759169f838739ad9662e850deba57856e9c46db3dcaff3" title="Topic: atari" href="/topics/atari" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">atari</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":369856,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="e108e00ab8a6029fe8eac85d4ec489c6dcbd95bf47e190a174fbde27be21d4da" title="Topic: actor-critic" href="/topics/actor-critic" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">actor-critic</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":384108,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="499679722ee41a9bc48e7efae1102450dd0da37ffe79e81002aa104ff69bc521" title="Topic: ale" href="/topics/ale" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">ale</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":551717,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="c9a991bf3ca272cd07408259df3d2333a93960e6c89695a0e08a7398defaa91d" title="Topic: proximal-policy-optimization" href="/topics/proximal-policy-optimization" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">proximal-policy-optimization</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":551718,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="42d1b916f9aba1eafddf80f1be9a49dfc92fc186812051a50e5caf606aed953a" title="Topic: ppo" href="/topics/ppo" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">ppo</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":552526,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="64efb33a71833e7b06a14f54a5b8511953382482fc67cd6f9e077c602df70a1d" title="Topic: advantage-actor-critic" href="/topics/advantage-actor-critic" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">advantage-actor-critic</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":573587,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="68d0546cec16f37f1dc6c66439b617287b0de9d81a2cd286f0465b499f37a26a" title="Topic: a2c" href="/topics/a2c" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">a2c</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":1108504,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="a52c6bb4e23ad8999d277b231d7ba81ea886edaa03e16c5777ec7d195d7ab2c1" title="Topic: wandb" href="/topics/wandb" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">wandb</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":1349355,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="e485a93223e583f377218b390966bc05fa4f33033289834deb48bce3b2eb1fb3" title="Topic: phasic-policy-gradient" href="/topics/phasic-policy-gradient" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">phasic-policy-gradient</a> </div> <div class="p-3"> <ul class="d-flex f6 list-style-none color-fg-muted"> <li class="mr-4"> Updated <relative-time datetime="2025-03-04T09:24:02Z" class="no-wrap">Mar 4, 2025</relative-time> </li> <li class="mr-4"> <span class="f6 my-1 ml-0"> <span class="repo-language-color" style="background-color: #3572A5"></span> <span itemprop="programmingLanguage">Python</span> </span> </li> </ul> </div> </div> </article> <article class="border rounded color-shadow-small color-bg-subtle my-4"> <div class="px-3"> <div class="d-flex flex-justify-between flex-items-start flex-wrap gap-2 my-3"> <div class="d-flex flex-1"> <span style="margin-top:2px"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-repo color-fg-muted mr-2"> <path d="M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z"></path> </svg> </span> <h3 class="f3 color-fg-muted text-normal lh-condensed" > <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"OWNER","click_visual_representation":"REPOSITORY_OWNER_HEADING","actor_id":null,"record_id":13419363,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="9f51d05f24b2ffb17d192eaffc8206637d11c282b5f1ead913eb8c1a54035a50" data-turbo="false" href="/yandexdataschool" data-view-component="true" class="Link">yandexdataschool</a> / <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"REPOSITORY_NAME_HEADING","actor_id":null,"record_id":79821807,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="53afade3c9babb42e663def717670e6a9fab3b1b6c0e4e8d00d3006966414200" data-turbo="false" href="/yandexdataschool/Practical_RL" data-view-component="true" class="Link text-bold wb-break-word">Practical_RL</a> </h3> </div> <div class="d-flex flex-items-center"> <div data-view-component="true" class="BtnGroup d-flex"> <a href="/login?return_to=%2Fyandexdataschool%2FPractical_RL" rel="nofollow" data-hydro-click="{"event_type":"authentication.click","payload":{"location_in_page":"star button","repository_id":79821807,"auth_type":"LOG_IN","originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="7c8ed0666cf54c3b87259597fac3501cc41f1a9318b0ae94db841b8a828bda38" aria-label="You must be signed in to star a repository" data-view-component="true" class="tooltipped tooltipped-sw btn-sm btn color-bg-default"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-star v-align-text-bottom d-inline-block mr-2"> <path d="M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z"></path> </svg><span data-view-component="true" class="d-inline"> Star </span> <span id="repo-stars-counter-star" aria-label="6087 users starred this repository" data-singular-suffix="user starred this repository" data-plural-suffix="users starred this repository" data-turbo-replace="true" title="6,087" data-view-component="true" class="Counter js-social-count">6.1k</span> </a></div> </div> </div> </div> <nav aria-label="Repository menu" data-view-component="true" class="tabnav px-3 mb-0"> <ul data-view-component="true" class="tabnav-tabs"> <li data-view-component="true" class="d-inline-flex"> <a id="code-tab-79821807" aria-current="true" href="/yandexdataschool/Practical_RL" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"CODE_TAB","actor_id":null,"record_id":79821807,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="d9009a5763b4d28a73f57749bdd70c94ca381b8631839e50f1d1deecb7415f3c" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-code color-fg-default"> <path d="m11.28 3.22 4.25 4.25a.75.75 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.275-.326.749.749 0 0 1 .215-.734L13.94 8l-3.72-3.72a.749.749 0 0 1 .326-1.275.749.749 0 0 1 .734.215Zm-6.56 0a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042L2.06 8l3.72 3.72a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L.47 8.53a.75.75 0 0 1 0-1.06Z"></path> </svg> Code </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="issues-tab-79821807" href="/yandexdataschool/Practical_RL/issues" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_ISSUES","click_visual_representation":"ISSUES_TAB","actor_id":null,"record_id":79821807,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="0fb674cc51f2a6e45fc41a8df9f7e494c2c60c3417d82275f11fb12323f3b628" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-issue-opened color-fg-muted"> <path d="M8 9.5a1.5 1.5 0 1 0 0-3 1.5 1.5 0 0 0 0 3Z"></path><path d="M8 0a8 8 0 1 1 0 16A8 8 0 0 1 8 0ZM1.5 8a6.5 6.5 0 1 0 13 0 6.5 6.5 0 0 0-13 0Z"></path> </svg> Issues </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="pull-requests-tab-79821807" href="/yandexdataschool/Practical_RL/pulls" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_PULL_REQUESTS","click_visual_representation":"PULL_REQUESTS_TAB","actor_id":null,"record_id":79821807,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="0cb97428c1fcf6b68f8a01134ee3b16eb1772e6379bba419e53091a106574e96" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-git-pull-request color-fg-muted"> <path d="M1.5 3.25a2.25 2.25 0 1 1 3 2.122v5.256a2.251 2.251 0 1 1-1.5 0V5.372A2.25 2.25 0 0 1 1.5 3.25Zm5.677-.177L9.573.677A.25.25 0 0 1 10 .854V2.5h1A2.5 2.5 0 0 1 13.5 5v5.628a2.251 2.251 0 1 1-1.5 0V5a1 1 0 0 0-1-1h-1v1.646a.25.25 0 0 1-.427.177L7.177 3.427a.25.25 0 0 1 0-.354ZM3.75 2.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm0 9.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm8.25.75a.75.75 0 1 0 1.5 0 .75.75 0 0 0-1.5 0Z"></path> </svg> Pull requests </a></li> </ul> </nav> <div class="color-bg-default rounded-bottom-2"> <div class="px-3 pt-3"> <p class="color-fg-muted mb-0" >A course in reinforcement learning in the wild</p> </div> <div class="d-flex flex-wrap border-bottom color-border-muted px-3 pt-2 pb-2"> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":9047,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="1db29a5eca4ed8a7bc164cda58fd5a9087645f57c0109771c4c193c539c9fad2" title="Topic: reinforcement-learning" href="/topics/reinforcement-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">reinforcement-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":9290,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="675eafd3ddc01ced10443651e5f4df2b48879ed4b792e38932619b3e1a68625d" title="Topic: deep-learning" href="/topics/deep-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deep-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":9316,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="0b59411d179dfb182fbc3ad54835f43090d85339a5cfb33c245df2404fa73bb6" title="Topic: course-materials" href="/topics/course-materials" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">course-materials</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":11983,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="3a386c2986768fccc7e9aed3911500793d1899a4d978b73440bf1ded7bbb3eeb" title="Topic: mooc" href="/topics/mooc" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">mooc</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":12734,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="e99a962ecb6fc1f4d18bf8f7bafe804378510a90a9e69d0e0cb010a005cbcf56" title="Topic: tensorflow" href="/topics/tensorflow" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">tensorflow</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":17705,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="2ca560e7543d69fd0379cc8a3fd5e109dc830e26e3567888f3972959be588198" title="Topic: keras" href="/topics/keras" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">keras</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":21287,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="6e5f45a15f3529ef3430ac6207b0b2f886c6efd92ac3354a58d7e03c3065d44f" title="Topic: deep-reinforcement-learning" href="/topics/deep-reinforcement-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deep-reinforcement-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":23301,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="fc0347ca09b2728d8f6ca6339dd8db968451870aabd63be153082b1f6017490f" title="Topic: pytorch" href="/topics/pytorch" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">pytorch</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":196454,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="a60a30567ca3889ea270755973b33f56b1c62767da8db8d2d82258e62babf317" title="Topic: hacktoberfest" href="/topics/hacktoberfest" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">hacktoberfest</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":367486,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="10de469914181cbacf3baa85b43770de12017fd56797a4da96fa8bb21f55af8b" title="Topic: git-course" href="/topics/git-course" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">git-course</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":440315,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="04b671321b5c2076edaa21022a9c87e334e1538c8c3c34e24c2f5673b4ffdefa" title="Topic: pytorch-tutorials" href="/topics/pytorch-tutorials" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">pytorch-tutorials</a> </div> <div class="p-3"> <ul class="d-flex f6 list-style-none color-fg-muted"> <li class="mr-4"> Updated <relative-time datetime="2025-03-22T21:55:24Z" class="no-wrap">Mar 22, 2025</relative-time> </li> <li class="mr-4"> <span class="f6 my-1 ml-0"> <span class="repo-language-color" style="background-color: #DA5B0B"></span> <span itemprop="programmingLanguage">Jupyter Notebook</span> </span> </li> </ul> </div> </div> </article> <article class="border rounded color-shadow-small color-bg-subtle my-4"> <div class="px-3"> <div class="d-flex flex-justify-between flex-items-start flex-wrap gap-2 my-3"> <div class="d-flex flex-1"> <span style="margin-top:2px"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-repo color-fg-muted mr-2"> <path d="M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z"></path> </svg> </span> <h3 class="f3 color-fg-muted text-normal lh-condensed" > <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"OWNER","click_visual_representation":"REPOSITORY_OWNER_HEADING","actor_id":null,"record_id":1916665,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="ccccbbc75a3c91b0a506ad2ddde6c05f19f0d7976e3f2a5c162717499706233e" data-turbo="false" href="/udacity" data-view-component="true" class="Link">udacity</a> / <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"REPOSITORY_NAME_HEADING","actor_id":null,"record_id":140018843,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="77a7e34b0e5e2c031907469efd2671abad7d11ca5e7055ea8078b0db80fbd0d3" data-turbo="false" href="/udacity/deep-reinforcement-learning" data-view-component="true" class="Link text-bold wb-break-word">deep-reinforcement-learning</a> </h3> </div> <div class="d-flex flex-items-center"> <div data-view-component="true" class="BtnGroup d-flex"> <a href="/login?return_to=%2Fudacity%2Fdeep-reinforcement-learning" rel="nofollow" data-hydro-click="{"event_type":"authentication.click","payload":{"location_in_page":"star button","repository_id":140018843,"auth_type":"LOG_IN","originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="81b8e2c0e4251ea91de92dd4483f846cd08dc4a5f791b33ebcedc197db23e474" aria-label="You must be signed in to star a repository" data-view-component="true" class="tooltipped tooltipped-sw btn-sm btn color-bg-default"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-star v-align-text-bottom d-inline-block mr-2"> <path d="M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z"></path> </svg><span data-view-component="true" class="d-inline"> Star </span> <span id="repo-stars-counter-star" aria-label="5020 users starred this repository" data-singular-suffix="user starred this repository" data-plural-suffix="users starred this repository" data-turbo-replace="true" title="5,020" data-view-component="true" class="Counter js-social-count">5k</span> </a></div> </div> </div> </div> <nav aria-label="Repository menu" data-view-component="true" class="tabnav px-3 mb-0"> <ul data-view-component="true" class="tabnav-tabs"> <li data-view-component="true" class="d-inline-flex"> <a id="code-tab-140018843" aria-current="true" href="/udacity/deep-reinforcement-learning" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"CODE_TAB","actor_id":null,"record_id":140018843,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="cfcde95c5ebd9d198c9eec1a7a3d5a1eb052a31e9ddb45f2014f7514aebd331f" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-code color-fg-default"> <path d="m11.28 3.22 4.25 4.25a.75.75 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.275-.326.749.749 0 0 1 .215-.734L13.94 8l-3.72-3.72a.749.749 0 0 1 .326-1.275.749.749 0 0 1 .734.215Zm-6.56 0a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042L2.06 8l3.72 3.72a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L.47 8.53a.75.75 0 0 1 0-1.06Z"></path> </svg> Code </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="issues-tab-140018843" href="/udacity/deep-reinforcement-learning/issues" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_ISSUES","click_visual_representation":"ISSUES_TAB","actor_id":null,"record_id":140018843,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="d2b011e986309190dd4f354abd3f6b392a29008835493e5af19c0d29145ac0eb" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-issue-opened color-fg-muted"> <path d="M8 9.5a1.5 1.5 0 1 0 0-3 1.5 1.5 0 0 0 0 3Z"></path><path d="M8 0a8 8 0 1 1 0 16A8 8 0 0 1 8 0ZM1.5 8a6.5 6.5 0 1 0 13 0 6.5 6.5 0 0 0-13 0Z"></path> </svg> Issues </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="pull-requests-tab-140018843" href="/udacity/deep-reinforcement-learning/pulls" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_PULL_REQUESTS","click_visual_representation":"PULL_REQUESTS_TAB","actor_id":null,"record_id":140018843,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="0b8f908512633b0f9ee60c4f03732ca3a90e1d8689b6f712a4e2c15dbb5d24f6" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-git-pull-request color-fg-muted"> <path d="M1.5 3.25a2.25 2.25 0 1 1 3 2.122v5.256a2.251 2.251 0 1 1-1.5 0V5.372A2.25 2.25 0 0 1 1.5 3.25Zm5.677-.177L9.573.677A.25.25 0 0 1 10 .854V2.5h1A2.5 2.5 0 0 1 13.5 5v5.628a2.251 2.251 0 1 1-1.5 0V5a1 1 0 0 0-1-1h-1v1.646a.25.25 0 0 1-.427.177L7.177 3.427a.25.25 0 0 1 0-.354ZM3.75 2.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm0 9.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm8.25.75a.75.75 0 1 0 1.5 0 .75.75 0 0 0-1.5 0Z"></path> </svg> Pull requests </a></li> </ul> </nav> <div class="color-bg-default rounded-bottom-2"> <div class="px-3 pt-3"> <p class="color-fg-muted mb-0" >Repo for the Deep Reinforcement Learning Nanodegree program</p> </div> <div class="d-flex flex-wrap border-bottom color-border-muted px-3 pt-2 pb-2"> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":9047,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="1db29a5eca4ed8a7bc164cda58fd5a9087645f57c0109771c4c193c539c9fad2" title="Topic: reinforcement-learning" href="/topics/reinforcement-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">reinforcement-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":21287,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="6e5f45a15f3529ef3430ac6207b0b2f886c6efd92ac3354a58d7e03c3065d44f" title="Topic: deep-reinforcement-learning" href="/topics/deep-reinforcement-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deep-reinforcement-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":21295,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="ea66f8055e2d827bd0079504354699100677f3b1f6e1b9a78ad3a202721d8c59" title="Topic: openai-gym" href="/topics/openai-gym" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">openai-gym</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":23301,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="fc0347ca09b2728d8f6ca6339dd8db968451870aabd63be153082b1f6017490f" title="Topic: pytorch" href="/topics/pytorch" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">pytorch</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":44225,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="560e17eeda7964d612ed52c795540b556f8862d62ec512faed1d068efbbdebb9" title="Topic: dqn" href="/topics/dqn" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">dqn</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":44842,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="2efee7ec345ed8ecf4efeaa35fec06d424153aec887876760e4135ddf1757083" title="Topic: neural-networks" href="/topics/neural-networks" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">neural-networks</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":60724,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="8f22027fd5073dc792de74e6e9fe609b08b8c2f1f6cc0f3464909328d2935f08" title="Topic: reinforcement-learning-algorithms" href="/topics/reinforcement-learning-algorithms" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">reinforcement-learning-algorithms</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":105531,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="755d37b1f9750fa39b893fb2f8ee7f480cf0c3e967c7ce1bc95343ccb568499a" title="Topic: dynamic-programming" href="/topics/dynamic-programming" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">dynamic-programming</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":133009,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="75eac448da585a4ba5043ba7ebc29e9ab120fbda607b108e526822405a7266d5" title="Topic: hill-climbing" href="/topics/hill-climbing" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">hill-climbing</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":217857,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="a53311609fa25aa9f91e7819ed990dd5735bfa3de6e7e2bfe896201ab66b5721" title="Topic: ddpg" href="/topics/ddpg" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">ddpg</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":389036,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="e081316dd7be818a04e19739165a4c693790078e1384324934eb552cb1818509" title="Topic: cross-entropy" href="/topics/cross-entropy" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">cross-entropy</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":469404,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="140d162a6239f88fb0ade9649d1dfe765a616b9ab35de9c96cee49e248fb9dac" title="Topic: openai-gym-solutions" href="/topics/openai-gym-solutions" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">openai-gym-solutions</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":522554,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="2843a1cfe71ba6334300b744e13636a9742fc0cf2fc1a039f94c0021ced7a2d5" title="Topic: pytorch-rl" href="/topics/pytorch-rl" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">pytorch-rl</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":551718,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="42d1b916f9aba1eafddf80f1be9a49dfc92fc186812051a50e5caf606aed953a" title="Topic: ppo" href="/topics/ppo" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">ppo</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":670601,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="6efd1577036e35bdba12585b0fd7b97f88f92cc22afda1fb2989ce0de47c3ccf" title="Topic: ml-agents" href="/topics/ml-agents" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">ml-agents</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":734942,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="321798778d3aff22fe89c7c43f8df6f9726a60f24c05e80ef2854e45d77aeb0b" title="Topic: rl-algorithms" href="/topics/rl-algorithms" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">rl-algorithms</a> </div> <div class="p-3"> <ul class="d-flex f6 list-style-none color-fg-muted"> <li class="mr-4"> Updated <relative-time datetime="2023-11-16T01:05:06Z" class="no-wrap">Nov 16, 2023</relative-time> </li> <li class="mr-4"> <span class="f6 my-1 ml-0"> <span class="repo-language-color" style="background-color: #DA5B0B"></span> <span itemprop="programmingLanguage">Jupyter Notebook</span> </span> </li> </ul> </div> </div> </article> <article class="border rounded color-shadow-small color-bg-subtle my-4"> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"REPOSITORY_IMAGE","actor_id":null,"record_id":146435045,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="5f909029cc006f11d4ab7f69933bfd901eefad529d4080cd7b11b3b109c5d55f" data-turbo="false" style="max-height:275px" href="/andri27-ts/Reinforcement-Learning" data-view-component="true" class="overflow-hidden flex-items-center rounded-top-2 Link color-border-muted border-bottom d-flex position-relative"><img loading="lazy" src="https://repository-images.githubusercontent.com/146435045/1848fb00-c6bf-11e9-9608-3ab83ab7422e" alt="Reinforcement-Learning" class="d-block width-full" ></a> <div class="px-3"> <div class="d-flex flex-justify-between flex-items-start flex-wrap gap-2 my-3"> <div class="d-flex flex-1"> <span style="margin-top:2px"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-repo color-fg-muted mr-2"> <path d="M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z"></path> </svg> </span> <h3 class="f3 color-fg-muted text-normal lh-condensed" > <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"OWNER","click_visual_representation":"REPOSITORY_OWNER_HEADING","actor_id":null,"record_id":20790129,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="5d9abb085d840e257e392ca161e528d5857205e47a208418c71f4ebd82db7d80" data-turbo="false" href="/andri27-ts" data-view-component="true" class="Link">andri27-ts</a> / <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"REPOSITORY_NAME_HEADING","actor_id":null,"record_id":146435045,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="9e6db856d58c5b5c0f53e5b37a69f9b0fd0f6d5e925c348da3702adfb645abb4" data-turbo="false" href="/andri27-ts/Reinforcement-Learning" data-view-component="true" class="Link text-bold wb-break-word">Reinforcement-Learning</a> </h3> </div> <div class="d-flex flex-items-center"> <div data-view-component="true" class="BtnGroup d-flex"> <a href="/login?return_to=%2Fandri27-ts%2FReinforcement-Learning" rel="nofollow" data-hydro-click="{"event_type":"authentication.click","payload":{"location_in_page":"star button","repository_id":146435045,"auth_type":"LOG_IN","originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="c3e4ae8aa95a56dc7c444b8b570702546582caedfff2da56f93d5d554b81ce94" aria-label="You must be signed in to star a repository" data-view-component="true" class="tooltipped tooltipped-sw btn-sm btn color-bg-default"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-star v-align-text-bottom d-inline-block mr-2"> <path d="M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z"></path> </svg><span data-view-component="true" class="d-inline"> Star </span> <span id="repo-stars-counter-star" aria-label="4297 users starred this repository" data-singular-suffix="user starred this repository" data-plural-suffix="users starred this repository" data-turbo-replace="true" title="4,297" data-view-component="true" class="Counter js-social-count">4.3k</span> </a></div> </div> </div> </div> <nav aria-label="Repository menu" data-view-component="true" class="tabnav px-3 mb-0"> <ul data-view-component="true" class="tabnav-tabs"> <li data-view-component="true" class="d-inline-flex"> <a id="code-tab-146435045" aria-current="true" href="/andri27-ts/Reinforcement-Learning" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"CODE_TAB","actor_id":null,"record_id":146435045,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="8d1d13844aa7ffaa035f14d5c80978982c786c75e470cb1779482a560c49ad8e" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-code color-fg-default"> <path d="m11.28 3.22 4.25 4.25a.75.75 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.275-.326.749.749 0 0 1 .215-.734L13.94 8l-3.72-3.72a.749.749 0 0 1 .326-1.275.749.749 0 0 1 .734.215Zm-6.56 0a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042L2.06 8l3.72 3.72a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L.47 8.53a.75.75 0 0 1 0-1.06Z"></path> </svg> Code </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="issues-tab-146435045" href="/andri27-ts/Reinforcement-Learning/issues" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_ISSUES","click_visual_representation":"ISSUES_TAB","actor_id":null,"record_id":146435045,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="28c467864940ebb26b34c86aa4436197e3e6ed82285231e7cd38ec06324647a2" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-issue-opened color-fg-muted"> <path d="M8 9.5a1.5 1.5 0 1 0 0-3 1.5 1.5 0 0 0 0 3Z"></path><path d="M8 0a8 8 0 1 1 0 16A8 8 0 0 1 8 0ZM1.5 8a6.5 6.5 0 1 0 13 0 6.5 6.5 0 0 0-13 0Z"></path> </svg> Issues </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="pull-requests-tab-146435045" href="/andri27-ts/Reinforcement-Learning/pulls" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_PULL_REQUESTS","click_visual_representation":"PULL_REQUESTS_TAB","actor_id":null,"record_id":146435045,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="113b9c7e41815dd009de40613dff801d5aded1f305e685e1d4fcedeb8856eb14" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-git-pull-request color-fg-muted"> <path d="M1.5 3.25a2.25 2.25 0 1 1 3 2.122v5.256a2.251 2.251 0 1 1-1.5 0V5.372A2.25 2.25 0 0 1 1.5 3.25Zm5.677-.177L9.573.677A.25.25 0 0 1 10 .854V2.5h1A2.5 2.5 0 0 1 13.5 5v5.628a2.251 2.251 0 1 1-1.5 0V5a1 1 0 0 0-1-1h-1v1.646a.25.25 0 0 1-.427.177L7.177 3.427a.25.25 0 0 1 0-.354ZM3.75 2.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm0 9.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm8.25.75a.75.75 0 1 0 1.5 0 .75.75 0 0 0-1.5 0Z"></path> </svg> Pull requests </a></li> </ul> </nav> <div class="color-bg-default rounded-bottom-2"> <div class="px-3 pt-3"> <p class="color-fg-muted mb-0" >Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning</p> </div> <div class="d-flex flex-wrap border-bottom color-border-muted px-3 pt-2 pb-2"> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":2169,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="1b2fc54a415f42bd2062de46d0121667f7a10e9de3faca3f7304874b2450fb4e" title="Topic: machine-learning" href="/topics/machine-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">machine-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":9047,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="1db29a5eca4ed8a7bc164cda58fd5a9087645f57c0109771c4c193c539c9fad2" title="Topic: reinforcement-learning" href="/topics/reinforcement-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">reinforcement-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":9098,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="0c78d12c49e13864cfbedd16d041683af51fada1683af49193e88752c6e3474b" title="Topic: qlearning" href="/topics/qlearning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">qlearning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":9290,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="675eafd3ddc01ced10443651e5f4df2b48879ed4b792e38932619b3e1a68625d" title="Topic: deep-learning" href="/topics/deep-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deep-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":21287,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="6e5f45a15f3529ef3430ac6207b0b2f886c6efd92ac3354a58d7e03c3065d44f" title="Topic: deep-reinforcement-learning" href="/topics/deep-reinforcement-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deep-reinforcement-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":24132,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="14732ba30b3a171594ee14a8aca9e2fe4ef3e2f6bfcff301ad365ee1b612c001" title="Topic: artificial-intelligence" href="/topics/artificial-intelligence" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">artificial-intelligence</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":44225,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="560e17eeda7964d612ed52c795540b556f8862d62ec512faed1d068efbbdebb9" title="Topic: dqn" href="/topics/dqn" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">dqn</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":118570,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="9f8380791c31dcd41713ffe379270cda3df4f9b7f17957ae31a3530abc004cc1" title="Topic: deepmind" href="/topics/deepmind" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deepmind</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":440582,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="c873fb07542cb82f643f1c7470f3159c55bf767d909bf9dde60f6f489f309689" title="Topic: evolution-strategies" href="/topics/evolution-strategies" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">evolution-strategies</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":551718,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="42d1b916f9aba1eafddf80f1be9a49dfc92fc186812051a50e5caf606aed953a" title="Topic: ppo" href="/topics/ppo" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">ppo</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":573587,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="68d0546cec16f37f1dc6c66439b617287b0de9d81a2cd286f0465b499f37a26a" title="Topic: a2c" href="/topics/a2c" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">a2c</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":790577,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="73f12dde59946157e487348dc8b439345c015137550d7f388d0ebb79fbf4cf12" title="Topic: policy-gradients" href="/topics/policy-gradients" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">policy-gradients</a> </div> <div class="p-3"> <ul class="d-flex f6 list-style-none color-fg-muted"> <li class="mr-4"> Updated <relative-time datetime="2020-06-30T11:38:42Z" class="no-wrap">Jun 30, 2020</relative-time> </li> <li class="mr-4"> <span class="f6 my-1 ml-0"> <span class="repo-language-color" style="background-color: #DA5B0B"></span> <span itemprop="programmingLanguage">Jupyter Notebook</span> </span> </li> </ul> </div> </div> </article> <article class="border rounded color-shadow-small color-bg-subtle my-4"> <div class="px-3"> <div class="d-flex flex-justify-between flex-items-start flex-wrap gap-2 my-3"> <div class="d-flex flex-1"> <span style="margin-top:2px"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-repo color-fg-muted mr-2"> <path d="M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z"></path> </svg> </span> <h3 class="f3 color-fg-muted text-normal lh-condensed" > <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"OWNER","click_visual_representation":"REPOSITORY_OWNER_HEADING","actor_id":null,"record_id":25720743,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="69a68b9aaf085847a65b1706a97fda87e68e79cde7066d3b107d571c480be546" data-turbo="false" href="/huggingface" data-view-component="true" class="Link">huggingface</a> / <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"REPOSITORY_NAME_HEADING","actor_id":null,"record_id":484003883,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="77f9b0ae7f98f6e5929c4f0447cfb9e097fd2470f507dbaa7a667a005031b543" data-turbo="false" href="/huggingface/deep-rl-class" data-view-component="true" class="Link text-bold wb-break-word">deep-rl-class</a> </h3> </div> <div class="d-flex flex-items-center"> <div data-view-component="true" class="BtnGroup d-flex"> <a href="/login?return_to=%2Fhuggingface%2Fdeep-rl-class" rel="nofollow" data-hydro-click="{"event_type":"authentication.click","payload":{"location_in_page":"star button","repository_id":484003883,"auth_type":"LOG_IN","originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="bc5e36b5bf1bd9ea97c35c467ec00b7be629a93ac99864e47b7af5814dba984f" aria-label="You must be signed in to star a repository" data-view-component="true" class="tooltipped tooltipped-sw btn-sm btn color-bg-default"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-star v-align-text-bottom d-inline-block mr-2"> <path d="M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z"></path> </svg><span data-view-component="true" class="d-inline"> Star </span> <span id="repo-stars-counter-star" aria-label="4211 users starred this repository" data-singular-suffix="user starred this repository" data-plural-suffix="users starred this repository" data-turbo-replace="true" title="4,211" data-view-component="true" class="Counter js-social-count">4.2k</span> </a></div> </div> </div> </div> <nav aria-label="Repository menu" data-view-component="true" class="tabnav px-3 mb-0"> <ul data-view-component="true" class="tabnav-tabs"> <li data-view-component="true" class="d-inline-flex"> <a id="code-tab-484003883" aria-current="true" href="/huggingface/deep-rl-class" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"CODE_TAB","actor_id":null,"record_id":484003883,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="3316c044456b0ac0c9a87367082722f66a6c55542cd8385e9ecb91d5359195c2" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-code color-fg-default"> <path d="m11.28 3.22 4.25 4.25a.75.75 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.275-.326.749.749 0 0 1 .215-.734L13.94 8l-3.72-3.72a.749.749 0 0 1 .326-1.275.749.749 0 0 1 .734.215Zm-6.56 0a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042L2.06 8l3.72 3.72a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L.47 8.53a.75.75 0 0 1 0-1.06Z"></path> </svg> Code </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="issues-tab-484003883" href="/huggingface/deep-rl-class/issues" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_ISSUES","click_visual_representation":"ISSUES_TAB","actor_id":null,"record_id":484003883,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="4fdae9b77b168a9016c2e812a74b5cfd9b48f1406e7af9ce534d7012914c9e20" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-issue-opened color-fg-muted"> <path d="M8 9.5a1.5 1.5 0 1 0 0-3 1.5 1.5 0 0 0 0 3Z"></path><path d="M8 0a8 8 0 1 1 0 16A8 8 0 0 1 8 0ZM1.5 8a6.5 6.5 0 1 0 13 0 6.5 6.5 0 0 0-13 0Z"></path> </svg> Issues </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="pull-requests-tab-484003883" href="/huggingface/deep-rl-class/pulls" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_PULL_REQUESTS","click_visual_representation":"PULL_REQUESTS_TAB","actor_id":null,"record_id":484003883,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="05a178648d5fb204d512d6f21e29a9c5eaec53d706bfd01591d65eb56ddaaeaa" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-git-pull-request color-fg-muted"> <path d="M1.5 3.25a2.25 2.25 0 1 1 3 2.122v5.256a2.251 2.251 0 1 1-1.5 0V5.372A2.25 2.25 0 0 1 1.5 3.25Zm5.677-.177L9.573.677A.25.25 0 0 1 10 .854V2.5h1A2.5 2.5 0 0 1 13.5 5v5.628a2.251 2.251 0 1 1-1.5 0V5a1 1 0 0 0-1-1h-1v1.646a.25.25 0 0 1-.427.177L7.177 3.427a.25.25 0 0 1 0-.354ZM3.75 2.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm0 9.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm8.25.75a.75.75 0 1 0 1.5 0 .75.75 0 0 0-1.5 0Z"></path> </svg> Pull requests </a></li> </ul> </nav> <div class="color-bg-default rounded-bottom-2"> <div class="px-3 pt-3"> <p class="color-fg-muted mb-0" >This repo contains the Hugging Face Deep Reinforcement Learning Course.</p> </div> <div class="d-flex flex-wrap border-bottom color-border-muted px-3 pt-2 pb-2"> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":9047,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="1db29a5eca4ed8a7bc164cda58fd5a9087645f57c0109771c4c193c539c9fad2" title="Topic: reinforcement-learning" href="/topics/reinforcement-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">reinforcement-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":9290,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="675eafd3ddc01ced10443651e5f4df2b48879ed4b792e38932619b3e1a68625d" title="Topic: deep-learning" href="/topics/deep-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deep-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":21287,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="6e5f45a15f3529ef3430ac6207b0b2f886c6efd92ac3354a58d7e03c3065d44f" title="Topic: deep-reinforcement-learning" href="/topics/deep-reinforcement-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deep-reinforcement-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":396956,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="2c4d1d877a010c85d01d51f1657aa5fab1f4e7b78ae5fd3d52821dab4d71862c" title="Topic: reinforcement-learning-excercises" href="/topics/reinforcement-learning-excercises" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">reinforcement-learning-excercises</a> </div> <div class="p-3"> <ul class="d-flex f6 list-style-none color-fg-muted"> <li class="mr-4"> Updated <relative-time datetime="2025-02-04T15:31:39Z" class="no-wrap">Feb 4, 2025</relative-time> </li> <li class="mr-4"> <span class="f6 my-1 ml-0"> <span class="repo-language-color" style="background-color: #fcb32c"></span> <span itemprop="programmingLanguage">MDX</span> </span> </li> </ul> </div> </div> </article> <article class="border rounded color-shadow-small color-bg-subtle my-4"> <div class="px-3"> <div class="d-flex flex-justify-between flex-items-start flex-wrap gap-2 my-3"> <div class="d-flex flex-1"> <span style="margin-top:2px"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-repo color-fg-muted mr-2"> <path d="M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z"></path> </svg> </span> <h3 class="f3 color-fg-muted text-normal lh-condensed" > <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"OWNER","click_visual_representation":"REPOSITORY_OWNER_HEADING","actor_id":null,"record_id":17249055,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="d58ceb1744afb3dbd67bd44e64397756ebd9800afbc8f69fafa945d1a430adff" data-turbo="false" href="/sweetice" data-view-component="true" class="Link">sweetice</a> / <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"REPOSITORY_NAME_HEADING","actor_id":null,"record_id":136681445,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="6c4a906c02a7e3c33119b041f1801f74aa0400183992feadc1168556a1732e8b" data-turbo="false" href="/sweetice/Deep-reinforcement-learning-with-pytorch" data-view-component="true" class="Link text-bold wb-break-word">Deep-reinforcement-learning-with-pytorch</a> </h3> </div> <div class="d-flex flex-items-center"> <div data-view-component="true" class="BtnGroup d-flex"> <a href="/login?return_to=%2Fsweetice%2FDeep-reinforcement-learning-with-pytorch" rel="nofollow" data-hydro-click="{"event_type":"authentication.click","payload":{"location_in_page":"star button","repository_id":136681445,"auth_type":"LOG_IN","originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="b931d1a00b15e7e0fc91e0550af6a7e9b3abb35b5de29e8c68a99939eabca16a" aria-label="You must be signed in to star a repository" data-view-component="true" class="tooltipped tooltipped-sw btn-sm btn color-bg-default"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-star v-align-text-bottom d-inline-block mr-2"> <path d="M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z"></path> </svg><span data-view-component="true" class="d-inline"> Star </span> <span id="repo-stars-counter-star" aria-label="4205 users starred this repository" data-singular-suffix="user starred this repository" data-plural-suffix="users starred this repository" data-turbo-replace="true" title="4,205" data-view-component="true" class="Counter js-social-count">4.2k</span> </a></div> </div> </div> </div> <nav aria-label="Repository menu" data-view-component="true" class="tabnav px-3 mb-0"> <ul data-view-component="true" class="tabnav-tabs"> <li data-view-component="true" class="d-inline-flex"> <a id="code-tab-136681445" aria-current="true" href="/sweetice/Deep-reinforcement-learning-with-pytorch" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"CODE_TAB","actor_id":null,"record_id":136681445,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="aea08a22f13f5f164e22b381083eb392d342a7c41c2848fc75c2d14569797e21" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-code color-fg-default"> <path d="m11.28 3.22 4.25 4.25a.75.75 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.275-.326.749.749 0 0 1 .215-.734L13.94 8l-3.72-3.72a.749.749 0 0 1 .326-1.275.749.749 0 0 1 .734.215Zm-6.56 0a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042L2.06 8l3.72 3.72a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L.47 8.53a.75.75 0 0 1 0-1.06Z"></path> </svg> Code </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="issues-tab-136681445" href="/sweetice/Deep-reinforcement-learning-with-pytorch/issues" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_ISSUES","click_visual_representation":"ISSUES_TAB","actor_id":null,"record_id":136681445,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="79c93b9f4cf60a896f246954648bad09535647774181e57d754961dd049914d6" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-issue-opened color-fg-muted"> <path d="M8 9.5a1.5 1.5 0 1 0 0-3 1.5 1.5 0 0 0 0 3Z"></path><path d="M8 0a8 8 0 1 1 0 16A8 8 0 0 1 8 0ZM1.5 8a6.5 6.5 0 1 0 13 0 6.5 6.5 0 0 0-13 0Z"></path> </svg> Issues </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="pull-requests-tab-136681445" href="/sweetice/Deep-reinforcement-learning-with-pytorch/pulls" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_PULL_REQUESTS","click_visual_representation":"PULL_REQUESTS_TAB","actor_id":null,"record_id":136681445,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="d4bbc21133ea31b972e8ed6fbb3867b37f2a0c823f1b265cf5366ddbe8c37bef" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-git-pull-request color-fg-muted"> <path d="M1.5 3.25a2.25 2.25 0 1 1 3 2.122v5.256a2.251 2.251 0 1 1-1.5 0V5.372A2.25 2.25 0 0 1 1.5 3.25Zm5.677-.177L9.573.677A.25.25 0 0 1 10 .854V2.5h1A2.5 2.5 0 0 1 13.5 5v5.628a2.251 2.251 0 1 1-1.5 0V5a1 1 0 0 0-1-1h-1v1.646a.25.25 0 0 1-.427.177L7.177 3.427a.25.25 0 0 1 0-.354ZM3.75 2.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm0 9.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm8.25.75a.75.75 0 1 0 1.5 0 .75.75 0 0 0-1.5 0Z"></path> </svg> Pull requests </a></li> </ul> </nav> <div class="color-bg-default rounded-bottom-2"> <div class="px-3 pt-3"> <p class="color-fg-muted mb-0" >PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....</p> </div> <div class="d-flex flex-wrap border-bottom color-border-muted px-3 pt-2 pb-2"> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":7501,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="450fb6aa40938a714f374e879b219f5af388b54490b1025111f0cbdfcb1ea0ae" title="Topic: algorithm" href="/topics/algorithm" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">algorithm</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":9290,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="675eafd3ddc01ced10443651e5f4df2b48879ed4b792e38932619b3e1a68625d" title="Topic: deep-learning" href="/topics/deep-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deep-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":21287,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="6e5f45a15f3529ef3430ac6207b0b2f886c6efd92ac3354a58d7e03c3065d44f" title="Topic: deep-reinforcement-learning" href="/topics/deep-reinforcement-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deep-reinforcement-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":23301,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="fc0347ca09b2728d8f6ca6339dd8db968451870aabd63be153082b1f6017490f" title="Topic: pytorch" href="/topics/pytorch" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">pytorch</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":44225,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="560e17eeda7964d612ed52c795540b556f8862d62ec512faed1d068efbbdebb9" title="Topic: dqn" href="/topics/dqn" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">dqn</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":59727,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="3731f57b4200d3fda0020d08de8e76c0911d1352189e3b778561aa82c44eb424" title="Topic: policy-gradient" href="/topics/policy-gradient" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">policy-gradient</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":60726,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="8b9d453b85fdbfb6447072b3f9cafcfc8dd71fdc77bc76d3c1b536507bb6574f" title="Topic: sarsa" href="/topics/sarsa" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">sarsa</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":75136,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="fa0dd283bc1179eb3763a2c778c71dcbb2232434b4a5ec83ede5d28cf06001a7" title="Topic: resnet" href="/topics/resnet" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">resnet</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":95784,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="89028e6877470fb3aeacc401cf840d88ecb99b7ed6e74e97b3a7e7488057c360" title="Topic: a3c" href="/topics/a3c" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">a3c</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":177182,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="6f686fd617784dd5f8a73736ec404ed903e3e0f13756af2269fee7c963d3ac3d" title="Topic: reinforce" href="/topics/reinforce" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">reinforce</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":314382,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="be638948aee77ba3a14811fa2855c1113564d201f425b1e7d1444e56fbe785a0" title="Topic: sac" href="/topics/sac" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">sac</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":357918,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="e137d366fecf240ea537f53db6ec08bccd548045c87bf424996c88e3a0abf890" title="Topic: alphago" href="/topics/alphago" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">alphago</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":369856,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="e108e00ab8a6029fe8eac85d4ec489c6dcbd95bf47e190a174fbde27be21d4da" title="Topic: actor-critic" href="/topics/actor-critic" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">actor-critic</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":428035,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="81895ba38e26c6f999187d7f6ef870a805838303170e171bbcf866927f83fa84" title="Topic: trpo" href="/topics/trpo" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">trpo</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":551718,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="42d1b916f9aba1eafddf80f1be9a49dfc92fc186812051a50e5caf606aed953a" title="Topic: ppo" href="/topics/ppo" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">ppo</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":573587,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="68d0546cec16f37f1dc6c66439b617287b0de9d81a2cd286f0465b499f37a26a" title="Topic: a2c" href="/topics/a2c" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">a2c</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":648676,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="99243bf8966c4fe860b9365cdcace92088c486420fabad94807757ee41c7000b" title="Topic: actor-critic-algorithm" href="/topics/actor-critic-algorithm" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">actor-critic-algorithm</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":734903,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="5afb445832992732b1238581296c372e43c86895c6e9c53686b1f4b7385bfca8" title="Topic: td3" href="/topics/td3" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">td3</a> </div> <div class="p-3"> <ul class="d-flex f6 list-style-none color-fg-muted"> <li class="mr-4"> Updated <relative-time datetime="2023-03-24T23:36:09Z" class="no-wrap">Mar 24, 2023</relative-time> </li> <li class="mr-4"> <span class="f6 my-1 ml-0"> <span class="repo-language-color" style="background-color: #3572A5"></span> <span itemprop="programmingLanguage">Python</span> </span> </li> </ul> </div> </div> </article> <article class="border rounded color-shadow-small color-bg-subtle my-4"> <div class="px-3"> <div class="d-flex flex-justify-between flex-items-start flex-wrap gap-2 my-3"> <div class="d-flex flex-1"> <span style="margin-top:2px"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-repo color-fg-muted mr-2"> <path d="M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z"></path> </svg> </span> <h3 class="f3 color-fg-muted text-normal lh-condensed" > <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"OWNER","click_visual_representation":"REPOSITORY_OWNER_HEADING","actor_id":null,"record_id":86840398,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="20caba4390da42b644368a8f17e3ab3a58c874c2a7efc5607619281e9d3d251f" data-turbo="false" href="/opendilab" data-view-component="true" class="Link">opendilab</a> / <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"REPOSITORY_NAME_HEADING","actor_id":null,"record_id":601100396,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="a965156a7fd313d5093718e741a93008dc7eefd01ae0996379aeefec001217c8" data-turbo="false" href="/opendilab/awesome-RLHF" data-view-component="true" class="Link text-bold wb-break-word">awesome-RLHF</a> </h3> </div> <div class="d-flex flex-items-center"> <div data-view-component="true" class="BtnGroup d-flex"> <a href="/login?return_to=%2Fopendilab%2Fawesome-RLHF" rel="nofollow" data-hydro-click="{"event_type":"authentication.click","payload":{"location_in_page":"star button","repository_id":601100396,"auth_type":"LOG_IN","originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="af397ed5b0c7030e658c2dddd2b9476a9d61208a8c1b695e9da0c6a1fde52971" aria-label="You must be signed in to star a repository" data-view-component="true" class="tooltipped tooltipped-sw btn-sm btn color-bg-default"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-star v-align-text-bottom d-inline-block mr-2"> <path d="M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z"></path> </svg><span data-view-component="true" class="d-inline"> Star </span> <span id="repo-stars-counter-star" aria-label="3853 users starred this repository" data-singular-suffix="user starred this repository" data-plural-suffix="users starred this repository" data-turbo-replace="true" title="3,853" data-view-component="true" class="Counter js-social-count">3.9k</span> </a></div> </div> </div> </div> <nav aria-label="Repository menu" data-view-component="true" class="tabnav px-3 mb-0"> <ul data-view-component="true" class="tabnav-tabs"> <li data-view-component="true" class="d-inline-flex"> <a id="code-tab-601100396" aria-current="true" href="/opendilab/awesome-RLHF" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"CODE_TAB","actor_id":null,"record_id":601100396,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="f75016538401710092ef5f43b30c2219c8e59ffdb467ee1cedb4c3a6183f7f87" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-code color-fg-default"> <path d="m11.28 3.22 4.25 4.25a.75.75 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.275-.326.749.749 0 0 1 .215-.734L13.94 8l-3.72-3.72a.749.749 0 0 1 .326-1.275.749.749 0 0 1 .734.215Zm-6.56 0a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042L2.06 8l3.72 3.72a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L.47 8.53a.75.75 0 0 1 0-1.06Z"></path> </svg> Code </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="issues-tab-601100396" href="/opendilab/awesome-RLHF/issues" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_ISSUES","click_visual_representation":"ISSUES_TAB","actor_id":null,"record_id":601100396,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="14a475abf55337c4297c328386092e60760256f589d4e9882ba5897df89e73a7" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-issue-opened color-fg-muted"> <path d="M8 9.5a1.5 1.5 0 1 0 0-3 1.5 1.5 0 0 0 0 3Z"></path><path d="M8 0a8 8 0 1 1 0 16A8 8 0 0 1 8 0ZM1.5 8a6.5 6.5 0 1 0 13 0 6.5 6.5 0 0 0-13 0Z"></path> </svg> Issues </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="pull-requests-tab-601100396" href="/opendilab/awesome-RLHF/pulls" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_PULL_REQUESTS","click_visual_representation":"PULL_REQUESTS_TAB","actor_id":null,"record_id":601100396,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="bec421a1e26f292b40d074baec0b5a3e09ea0c52d351147c20865d70c78548bf" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-git-pull-request color-fg-muted"> <path d="M1.5 3.25a2.25 2.25 0 1 1 3 2.122v5.256a2.251 2.251 0 1 1-1.5 0V5.372A2.25 2.25 0 0 1 1.5 3.25Zm5.677-.177L9.573.677A.25.25 0 0 1 10 .854V2.5h1A2.5 2.5 0 0 1 13.5 5v5.628a2.251 2.251 0 1 1-1.5 0V5a1 1 0 0 0-1-1h-1v1.646a.25.25 0 0 1-.427.177L7.177 3.427a.25.25 0 0 1 0-.354ZM3.75 2.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm0 9.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm8.25.75a.75.75 0 1 0 1.5 0 .75.75 0 0 0-1.5 0Z"></path> </svg> Pull requests </a></li> </ul> </nav> <div class="color-bg-default rounded-bottom-2"> <div class="px-3 pt-3"> <p class="color-fg-muted mb-0" >A curated list of reinforcement learning with human feedback resources (continually updated)</p> </div> <div class="d-flex flex-wrap border-bottom color-border-muted px-3 pt-2 pb-2"> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":9047,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="1db29a5eca4ed8a7bc164cda58fd5a9087645f57c0109771c4c193c539c9fad2" title="Topic: reinforcement-learning" href="/topics/reinforcement-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">reinforcement-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":9290,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="675eafd3ddc01ced10443651e5f4df2b48879ed4b792e38932619b3e1a68625d" title="Topic: deep-learning" href="/topics/deep-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deep-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":21287,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="6e5f45a15f3529ef3430ac6207b0b2f886c6efd92ac3354a58d7e03c3065d44f" title="Topic: deep-reinforcement-learning" href="/topics/deep-reinforcement-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deep-reinforcement-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":1698442,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="d5dd15d2a6b9c2d6503b4364af35192d2068a5e98d4dd570f903cc70fdac4561" title="Topic: large-language-models" href="/topics/large-language-models" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">large-language-models</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":1862786,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="9cafffd9b92c093f819479c25f52f0008ef099901f3b89f3336c028717fe9dbf" title="Topic: human-feedback" href="/topics/human-feedback" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">human-feedback</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":1866250,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="bacfe78637708cede46686d020ef7aa1a18af61708c4cf1d3476bb63ca35d7c6" title="Topic: rlhf" href="/topics/rlhf" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">rlhf</a> </div> <div class="p-3"> <ul class="d-flex f6 list-style-none color-fg-muted"> <li class="mr-4"> Updated <relative-time datetime="2025-02-19T05:00:51Z" class="no-wrap">Feb 19, 2025</relative-time> </li> </ul> </div> </div> </article> <article class="border rounded color-shadow-small color-bg-subtle my-4"> <div class="px-3"> <div class="d-flex flex-justify-between flex-items-start flex-wrap gap-2 my-3"> <div class="d-flex flex-1"> <span style="margin-top:2px"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-repo color-fg-muted mr-2"> <path d="M2 2.5A2.5 2.5 0 0 1 4.5 0h8.75a.75.75 0 0 1 .75.75v12.5a.75.75 0 0 1-.75.75h-2.5a.75.75 0 0 1 0-1.5h1.75v-2h-8a1 1 0 0 0-.714 1.7.75.75 0 1 1-1.072 1.05A2.495 2.495 0 0 1 2 11.5Zm10.5-1h-8a1 1 0 0 0-1 1v6.708A2.486 2.486 0 0 1 4.5 9h8ZM5 12.25a.25.25 0 0 1 .25-.25h3.5a.25.25 0 0 1 .25.25v3.25a.25.25 0 0 1-.4.2l-1.45-1.087a.249.249 0 0 0-.3 0L5.4 15.7a.25.25 0 0 1-.4-.2Z"></path> </svg> </span> <h3 class="f3 color-fg-muted text-normal lh-condensed" > <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"OWNER","click_visual_representation":"REPOSITORY_OWNER_HEADING","actor_id":null,"record_id":13088472,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="94c1097800c4b95fc615c68e0013d9523e658d7281db463b4a908406a8fbae4e" data-turbo="false" href="/simoninithomas" data-view-component="true" class="Link">simoninithomas</a> / <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"REPOSITORY_NAME_HEADING","actor_id":null,"record_id":126685014,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="b397ce29cbc545020d65d3ba6d3971d14663886258dab8872b47f8f9e143adce" data-turbo="false" href="/simoninithomas/Deep_reinforcement_learning_Course" data-view-component="true" class="Link text-bold wb-break-word">Deep_reinforcement_learning_Course</a> </h3> </div> <div class="d-flex flex-items-center"> <div data-view-component="true" class="BtnGroup d-flex"> <a href="/login?return_to=%2Fsimoninithomas%2FDeep_reinforcement_learning_Course" rel="nofollow" data-hydro-click="{"event_type":"authentication.click","payload":{"location_in_page":"star button","repository_id":126685014,"auth_type":"LOG_IN","originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="4a9d150ab2b0656a09844eae04c50669e08357c5b43801bf9c57803bc063059c" aria-label="You must be signed in to star a repository" data-view-component="true" class="tooltipped tooltipped-sw btn-sm btn color-bg-default"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-star v-align-text-bottom d-inline-block mr-2"> <path d="M8 .25a.75.75 0 0 1 .673.418l1.882 3.815 4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z"></path> </svg><span data-view-component="true" class="d-inline"> Star </span> <span id="repo-stars-counter-star" aria-label="3837 users starred this repository" data-singular-suffix="user starred this repository" data-plural-suffix="users starred this repository" data-turbo-replace="true" title="3,837" data-view-component="true" class="Counter js-social-count">3.8k</span> </a></div> </div> </div> </div> <nav aria-label="Repository menu" data-view-component="true" class="tabnav px-3 mb-0"> <ul data-view-component="true" class="tabnav-tabs"> <li data-view-component="true" class="d-inline-flex"> <a id="code-tab-126685014" aria-current="true" href="/simoninithomas/Deep_reinforcement_learning_Course" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY","click_visual_representation":"CODE_TAB","actor_id":null,"record_id":126685014,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="a351df2f5f06034872114eb066fd43f88f6de979e08851774c916e81d9d3f8ab" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-code color-fg-default"> <path d="m11.28 3.22 4.25 4.25a.75.75 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.275-.326.749.749 0 0 1 .215-.734L13.94 8l-3.72-3.72a.749.749 0 0 1 .326-1.275.749.749 0 0 1 .734.215Zm-6.56 0a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042L2.06 8l3.72 3.72a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L.47 8.53a.75.75 0 0 1 0-1.06Z"></path> </svg> Code </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="issues-tab-126685014" href="/simoninithomas/Deep_reinforcement_learning_Course/issues" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_ISSUES","click_visual_representation":"ISSUES_TAB","actor_id":null,"record_id":126685014,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="9e731dad77b847ab7c730ac9121b3585d777fce5686ad90bb92c5544ddfec2b1" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-issue-opened color-fg-muted"> <path d="M8 9.5a1.5 1.5 0 1 0 0-3 1.5 1.5 0 0 0 0 3Z"></path><path d="M8 0a8 8 0 1 1 0 16A8 8 0 0 1 8 0ZM1.5 8a6.5 6.5 0 1 0 13 0 6.5 6.5 0 0 0-13 0Z"></path> </svg> Issues </a></li> <li data-view-component="true" class="d-inline-flex"> <a id="pull-requests-tab-126685014" href="/simoninithomas/Deep_reinforcement_learning_Course/pulls" data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"REPOSITORY_PULL_REQUESTS","click_visual_representation":"PULL_REQUESTS_TAB","actor_id":null,"record_id":126685014,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="499ef478634d5d03e96e67f7751b68216b77e934b3412362845692403366364b" data-turbo="false" data-view-component="true" class="tabnav-tab f6 px-2 py-1"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-git-pull-request color-fg-muted"> <path d="M1.5 3.25a2.25 2.25 0 1 1 3 2.122v5.256a2.251 2.251 0 1 1-1.5 0V5.372A2.25 2.25 0 0 1 1.5 3.25Zm5.677-.177L9.573.677A.25.25 0 0 1 10 .854V2.5h1A2.5 2.5 0 0 1 13.5 5v5.628a2.251 2.251 0 1 1-1.5 0V5a1 1 0 0 0-1-1h-1v1.646a.25.25 0 0 1-.427.177L7.177 3.427a.25.25 0 0 1 0-.354ZM3.75 2.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm0 9.5a.75.75 0 1 0 0 1.5.75.75 0 0 0 0-1.5Zm8.25.75a.75.75 0 1 0 1.5 0 .75.75 0 0 0-1.5 0Z"></path> </svg> Pull requests </a></li> </ul> </nav> <div class="color-bg-default rounded-bottom-2"> <div class="px-3 pt-3"> <p class="color-fg-muted mb-0" >Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch</p> </div> <div class="d-flex flex-wrap border-bottom color-border-muted px-3 pt-2 pb-2"> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":9098,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="0c78d12c49e13864cfbedd16d041683af51fada1683af49193e88752c6e3474b" title="Topic: qlearning" href="/topics/qlearning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">qlearning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":9290,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="675eafd3ddc01ced10443651e5f4df2b48879ed4b792e38932619b3e1a68625d" title="Topic: deep-learning" href="/topics/deep-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deep-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":11962,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="d820cdd3c4af77319b0f54517ea582b5ebc27337a0f2cedd2b062f653a2b1cac" title="Topic: unity" href="/topics/unity" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">unity</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":12734,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="e99a962ecb6fc1f4d18bf8f7bafe804378510a90a9e69d0e0cb010a005cbcf56" title="Topic: tensorflow" href="/topics/tensorflow" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">tensorflow</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":21287,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="6e5f45a15f3529ef3430ac6207b0b2f886c6efd92ac3354a58d7e03c3065d44f" title="Topic: deep-reinforcement-learning" href="/topics/deep-reinforcement-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deep-reinforcement-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":23301,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="fc0347ca09b2728d8f6ca6339dd8db968451870aabd63be153082b1f6017490f" title="Topic: pytorch" href="/topics/pytorch" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">pytorch</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":75329,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="2eef2ee0db508a2cb8b90887e7df951c84313a0865e0f0a8ae3aba282d2c5cad" title="Topic: tensorflow-tutorials" href="/topics/tensorflow-tutorials" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">tensorflow-tutorials</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":177549,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="c7955cc5192ce17cc83f87fe34e06330cda18023e7a09d3a22a62343ae130c4b" title="Topic: deep-q-network" href="/topics/deep-q-network" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deep-q-network</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":369856,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="e108e00ab8a6029fe8eac85d4ec489c6dcbd95bf47e190a174fbde27be21d4da" title="Topic: actor-critic" href="/topics/actor-critic" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">actor-critic</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":395365,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="be6200fc4a3aceeb903a98d043fa34a973484a0c520b5158eccc3964f9796c32" title="Topic: deep-q-learning" href="/topics/deep-q-learning" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">deep-q-learning</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":551718,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="42d1b916f9aba1eafddf80f1be9a49dfc92fc186812051a50e5caf606aed953a" title="Topic: ppo" href="/topics/ppo" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">ppo</a> <a data-hydro-click="{"event_type":"explore.click","payload":{"click_context":"REPOSITORY_CARD","click_target":"TOPIC","click_visual_representation":"TOPIC_TAG","actor_id":null,"record_id":573587,"originating_url":"https://github.com/topics/deep-reinforcement-learning","user_id":null}}" data-hydro-click-hmac="68d0546cec16f37f1dc6c66439b617287b0de9d81a2cd286f0465b499f37a26a" title="Topic: a2c" href="/topics/a2c" data-view-component="true" class="topic-tag topic-tag-link Link f6 mb-2">a2c</a> </div> <div class="p-3"> <ul class="d-flex f6 list-style-none color-fg-muted"> <li class="mr-4"> Updated <relative-time datetime="2023-05-02T12:25:40Z" class="no-wrap">May 2, 2023</relative-time> </li> <li class="mr-4"> <span class="f6 my-1 ml-0"> <span class="repo-language-color" style="background-color: #DA5B0B"></span> <span itemprop="programmingLanguage">Jupyter Notebook</span> </span> </li> </ul> </div> </div> </article> <!-- '"` --><!-- </textarea></xmp> --></option></form><form class="ajax-pagination-form js-ajax-pagination" data-turbo="false" action="https://github.com/topics/deep-reinforcement-learning" accept-charset="UTF-8" method="get"> <input name="page" type="hidden" value="2"> <button type="submit" class="ajax-pagination-btn btn color-border-default f6 mt-0 width-full" data-disable-with="Loading more..." > Load more… </button> </form> </div> <div class="col-md-4 col-lg-3"> <div class="mb-6"> <h2 class="h4 mb-2"> Improve this page </h2> <p class="color-fg-muted"> Add a description, image, and links to the <span class="text-bold">deep-reinforcement-learning</span> topic page so that developers can more easily learn about it. </p> <p> <a href="https://github.com/github/explore/tree/master/CONTRIBUTING.md?source=add-description-deep-reinforcement-learning" data-ga-click="Explore, add description, text:add description" > Curate this topic <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-chevron-right ml-1"> <path d="M6.22 3.22a.75.75 0 0 1 1.06 0l4.25 4.25a.75.75 0 0 1 0 1.06l-4.25 4.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L9.94 8 6.22 4.28a.75.75 0 0 1 0-1.06Z"></path> </svg> </a> </p> </div> <div class="mb-6"> <h2 class="h4 mb-2"> Add this topic to your repo </h2> <p class="color-fg-muted"> To associate your repository with the <span class="text-bold">deep-reinforcement-learning</span> topic, visit your repo's landing page and select "manage topics." </p> <p> <a href="https://docs.github.com/en/articles/classifying-your-repository-with-topics"> Learn more <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-chevron-right ml-1"> <path d="M6.22 3.22a.75.75 0 0 1 1.06 0l4.25 4.25a.75.75 0 0 1 0 1.06l-4.25 4.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L9.94 8 6.22 4.28a.75.75 0 0 1 0-1.06Z"></path> </svg> </a> </p> </div> </div> </div> </div> </div> </main> </div> <footer class="footer pt-8 pb-6 f6 color-fg-muted p-responsive" role="contentinfo" > <h2 class='sr-only'>Footer</h2> <div class="d-flex flex-justify-center flex-items-center flex-column-reverse flex-lg-row flex-wrap flex-lg-nowrap"> <div class="d-flex flex-items-center flex-shrink-0 mx-2"> <a aria-label="Homepage" title="GitHub" class="footer-octicon mr-2" href="https://github.com"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-mark-github"> <path d="M12 1C5.9225 1 1 5.9225 1 12C1 16.8675 4.14875 20.9787 8.52125 22.4362C9.07125 22.5325 9.2775 22.2025 9.2775 21.9137C9.2775 21.6525 9.26375 20.7862 9.26375 19.865C6.5 20.3737 5.785 19.1912 5.565 18.5725C5.44125 18.2562 4.905 17.28 4.4375 17.0187C4.0525 16.8125 3.5025 16.3037 4.42375 16.29C5.29 16.2762 5.90875 17.0875 6.115 17.4175C7.105 19.0812 8.68625 18.6137 9.31875 18.325C9.415 17.61 9.70375 17.1287 10.02 16.8537C7.5725 16.5787 5.015 15.63 5.015 11.4225C5.015 10.2262 5.44125 9.23625 6.1425 8.46625C6.0325 8.19125 5.6475 7.06375 6.2525 5.55125C6.2525 5.55125 7.17375 5.2625 9.2775 6.67875C10.1575 6.43125 11.0925 6.3075 12.0275 6.3075C12.9625 6.3075 13.8975 6.43125 14.7775 6.67875C16.8813 5.24875 17.8025 5.55125 17.8025 5.55125C18.4075 7.06375 18.0225 8.19125 17.9125 8.46625C18.6138 9.23625 19.04 10.2125 19.04 11.4225C19.04 15.6437 16.4688 16.5787 14.0213 16.8537C14.42 17.1975 14.7638 17.8575 14.7638 18.8887C14.7638 20.36 14.75 21.5425 14.75 21.9137C14.75 22.2025 14.9563 22.5462 15.5063 22.4362C19.8513 20.9787 23 16.8537 23 12C23 5.9225 18.0775 1 12 1Z"></path> </svg> </a> <span> © 2025 GitHub, Inc. </span> </div> <nav aria-label="Footer"> <h3 class="sr-only" id="sr-footer-heading">Footer navigation</h3> <ul class="list-style-none d-flex flex-justify-center flex-wrap mb-2 mb-lg-0" aria-labelledby="sr-footer-heading"> <li class="mx-2"> <a data-analytics-event="{"category":"Footer","action":"go to Terms","label":"text:terms"}" href="https://docs.github.com/site-policy/github-terms/github-terms-of-service" data-view-component="true" class="Link--secondary Link">Terms</a> </li> <li class="mx-2"> <a data-analytics-event="{"category":"Footer","action":"go to privacy","label":"text:privacy"}" href="https://docs.github.com/site-policy/privacy-policies/github-privacy-statement" data-view-component="true" class="Link--secondary Link">Privacy</a> </li> <li class="mx-2"> <a data-analytics-event="{"category":"Footer","action":"go to security","label":"text:security"}" href="https://github.com/security" data-view-component="true" class="Link--secondary Link">Security</a> </li> <li class="mx-2"> <a data-analytics-event="{"category":"Footer","action":"go to status","label":"text:status"}" href="https://www.githubstatus.com/" data-view-component="true" class="Link--secondary Link">Status</a> </li> <li class="mx-2"> <a data-analytics-event="{"category":"Footer","action":"go to docs","label":"text:docs"}" href="https://docs.github.com/" data-view-component="true" class="Link--secondary Link">Docs</a> </li> <li class="mx-2"> <a data-analytics-event="{"category":"Footer","action":"go to contact","label":"text:contact"}" href="https://support.github.com?tags=dotcom-footer" data-view-component="true" class="Link--secondary Link">Contact</a> </li> <li class="mx-2" > <cookie-consent-link> <button type="button" class="Link--secondary underline-on-hover border-0 p-0 color-bg-transparent" data-action="click:cookie-consent-link#showConsentManagement" data-analytics-event="{"location":"footer","action":"cookies","context":"subfooter","tag":"link","label":"cookies_link_subfooter_footer"}" > Manage cookies </button> </cookie-consent-link> </li> <li class="mx-2"> <cookie-consent-link> <button type="button" class="Link--secondary underline-on-hover border-0 p-0 color-bg-transparent" data-action="click:cookie-consent-link#showConsentManagement" data-analytics-event="{"location":"footer","action":"dont_share_info","context":"subfooter","tag":"link","label":"dont_share_info_link_subfooter_footer"}" > Do not share my personal information </button> </cookie-consent-link> </li> </ul> </nav> </div> </footer> <ghcc-consent id="ghcc" class="position-fixed bottom-0 left-0" style="z-index: 999999" data-initial-cookie-consent-allowed="" data-cookie-consent-required="false"></ghcc-consent> <div id="ajax-error-message" class="ajax-error-message flash flash-error" hidden> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-alert"> <path d="M6.457 1.047c.659-1.234 2.427-1.234 3.086 0l6.082 11.378A1.75 1.75 0 0 1 14.082 15H1.918a1.75 1.75 0 0 1-1.543-2.575Zm1.763.707a.25.25 0 0 0-.44 0L1.698 13.132a.25.25 0 0 0 .22.368h12.164a.25.25 0 0 0 .22-.368Zm.53 3.996v2.5a.75.75 0 0 1-1.5 0v-2.5a.75.75 0 0 1 1.5 0ZM9 11a1 1 0 1 1-2 0 1 1 0 0 1 2 0Z"></path> </svg> <button type="button" class="flash-close js-ajax-error-dismiss" aria-label="Dismiss error"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-x"> <path d="M3.72 3.72a.75.75 0 0 1 1.06 0L8 6.94l3.22-3.22a.749.749 0 0 1 1.275.326.749.749 0 0 1-.215.734L9.06 8l3.22 3.22a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L8 9.06l-3.22 3.22a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L6.94 8 3.72 4.78a.75.75 0 0 1 0-1.06Z"></path> </svg> </button> You can’t perform that action at this time. </div> <template id="site-details-dialog"> <details class="details-reset details-overlay details-overlay-dark lh-default color-fg-default hx_rsm" open> <summary role="button" aria-label="Close dialog"></summary> <details-dialog class="Box Box--overlay d-flex flex-column anim-fade-in fast hx_rsm-dialog hx_rsm-modal"> <button class="Box-btn-octicon m-0 btn-octicon position-absolute right-0 top-0" type="button" aria-label="Close dialog" data-close-dialog> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-x"> <path d="M3.72 3.72a.75.75 0 0 1 1.06 0L8 6.94l3.22-3.22a.749.749 0 0 1 1.275.326.749.749 0 0 1-.215.734L9.06 8l3.22 3.22a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L8 9.06l-3.22 3.22a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042L6.94 8 3.72 4.78a.75.75 0 0 1 0-1.06Z"></path> </svg> </button> <div class="octocat-spinner my-6 js-details-dialog-spinner"></div> </details-dialog> </details> </template> <div class="Popover js-hovercard-content position-absolute" style="display: none; outline: none;"> <div class="Popover-message Popover-message--bottom-left Popover-message--large Box color-shadow-large" style="width:360px;"> </div> </div> <template id="snippet-clipboard-copy-button"> <div class="zeroclipboard-container position-absolute right-0 top-0"> <clipboard-copy aria-label="Copy" class="ClipboardButton btn js-clipboard-copy m-2 p-0" data-copy-feedback="Copied!" data-tooltip-direction="w"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-copy js-clipboard-copy-icon m-2"> <path d="M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 0 1 0 1.5h-1.5a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-1.5a.75.75 0 0 1 1.5 0v1.5A1.75 1.75 0 0 1 9.25 16h-7.5A1.75 1.75 0 0 1 0 14.25Z"></path><path d="M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0 1 14.25 11h-7.5A1.75 1.75 0 0 1 5 9.25Zm1.75-.25a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-7.5a.25.25 0 0 0-.25-.25Z"></path> </svg> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-check js-clipboard-check-icon color-fg-success d-none m-2"> <path d="M13.78 4.22a.75.75 0 0 1 0 1.06l-7.25 7.25a.75.75 0 0 1-1.06 0L2.22 9.28a.751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018L6 10.94l6.72-6.72a.75.75 0 0 1 1.06 0Z"></path> </svg> </clipboard-copy> </div> </template> <template id="snippet-clipboard-copy-button-unpositioned"> <div class="zeroclipboard-container"> <clipboard-copy aria-label="Copy" class="ClipboardButton btn btn-invisible js-clipboard-copy m-2 p-0 d-flex flex-justify-center flex-items-center" data-copy-feedback="Copied!" data-tooltip-direction="w"> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-copy js-clipboard-copy-icon"> <path d="M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 0 1 0 1.5h-1.5a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-1.5a.75.75 0 0 1 1.5 0v1.5A1.75 1.75 0 0 1 9.25 16h-7.5A1.75 1.75 0 0 1 0 14.25Z"></path><path d="M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0 1 14.25 11h-7.5A1.75 1.75 0 0 1 5 9.25Zm1.75-.25a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 0 0 .25-.25v-7.5a.25.25 0 0 0-.25-.25Z"></path> </svg> <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-check js-clipboard-check-icon color-fg-success d-none"> <path d="M13.78 4.22a.75.75 0 0 1 0 1.06l-7.25 7.25a.75.75 0 0 1-1.06 0L2.22 9.28a.751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018L6 10.94l6.72-6.72a.75.75 0 0 1 1.06 0Z"></path> </svg> </clipboard-copy> </div> </template> </div> <div id="js-global-screen-reader-notice" class="sr-only mt-n1" aria-live="polite" aria-atomic="true" ></div> <div id="js-global-screen-reader-notice-assertive" class="sr-only mt-n1" aria-live="assertive" aria-atomic="true"></div> </body> </html>