{"id":21402943,"url":"https://github.com/niklasschmitz/deepqlearning","last_synced_at":"2025-08-21T00:13:15.907Z","repository":{"id":103582812,"uuid":"168010086","full_name":"niklasschmitz/DeepQLearning","owner":"niklasschmitz","description":"small experiments with agents learning atari games, implemented in jax/numpy","archived":false,"fork":false,"pushed_at":"2019-03-16T14:10:58.000Z","size":37,"stargazers_count":7,"open_issues_count":0,"forks_count":0,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-07-13T22:36:01.389Z","etag":null,"topics":["deep-q-learning","deep-reinforcement-learning","jax"],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/niklasschmitz.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-01-28T18:04:41.000Z","updated_at":"2023-08-20T08:36:42.000Z","dependencies_parsed_at":"2023-07-21T19:37:23.651Z","dependency_job_id":null,"html_url":"https://github.com/niklasschmitz/DeepQLearning","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/niklasschmitz/DeepQLearning","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/niklasschmitz%2FDeepQLearning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/niklasschmitz%2FDeepQLearning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/niklasschmitz%2FDeepQLearning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/niklasschmitz%2FDeepQLearning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/niklasschmitz","download_url":"https://codeload.github.com/niklasschmitz/DeepQLearning/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/niklasschmitz%2FDeepQLearning/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":271406007,"owners_count":24753894,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-08-20T02:00:09.606Z","response_time":69,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["deep-q-learning","deep-reinforcement-learning","jax"],"created_at":"2024-11-22T15:42:12.261Z","updated_at":"2025-08-21T00:13:15.900Z","avatar_url":"https://github.com/niklasschmitz.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# DeepQLearning\nsmall experiments with agents learning atari games, implemented in jax/numpy\n\n\nmostly following the 2013 NeurIPS paper [Playing Atari with Deep Reinforcement Learning\n](https://arxiv.org/abs/1312.5602) by Mnih et al.\n\n### Other Links\n\n- experimental code setup partly based on this [pytorch implementation](https://github.com/philtabor/Youtube-Code-Repository/tree/master/ReinforcementLearning/DeepQLearning)\n- nice explanation on the [preprocessing with frame skipping](https://danieltakeshi.github.io/2016/11/25/frame-skipping-and-preprocessing-for-deep-q-networks-on-atari-2600-games/)\n\n\nThis is a WIP","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fniklasschmitz%2Fdeepqlearning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fniklasschmitz%2Fdeepqlearning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fniklasschmitz%2Fdeepqlearning/lists"}