{"id":21735827,"url":"https://github.com/matteo4diani/deep-q-learning","last_synced_at":"2026-04-17T05:03:23.533Z","repository":{"id":154673182,"uuid":"535394370","full_name":"matteo4diani/deep-q-learning","owner":"matteo4diani","description":"An implementation of Deep Q Learning from scratch with PyTorch and OpenAI gym on the ATARI environment (Breakout). The author of this code is Bryan Thornbury (@brthor) and all credit goes to him. I did some minor adjustments needed to keep up with numpy / gym and added some QoL improvements.","archived":false,"fork":false,"pushed_at":"2022-10-11T08:12:44.000Z","size":147,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-07-27T04:51:41.057Z","etag":null,"topics":["atari-2600","atari-breakout","deep-learning","deep-q-learning","deep-reinforcement-learning","openai-gym"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/matteo4diani.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":"2022-09-11T18:49:53.000Z","updated_at":"2024-09-25T13:28:58.000Z","dependencies_parsed_at":null,"dependency_job_id":"178f43a4-0ad6-4ffc-a286-89ff655dc6f0","html_url":"https://github.com/matteo4diani/deep-q-learning","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/matteo4diani/deep-q-learning","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/matteo4diani%2Fdeep-q-learning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/matteo4diani%2Fdeep-q-learning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/matteo4diani%2Fdeep-q-learning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/matteo4diani%2Fdeep-q-learning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/matteo4diani","download_url":"https://codeload.github.com/matteo4diani/deep-q-learning/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/matteo4diani%2Fdeep-q-learning/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31915900,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-16T18:22:33.417Z","status":"online","status_checked_at":"2026-04-17T02:00:06.879Z","response_time":62,"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":["atari-2600","atari-breakout","deep-learning","deep-q-learning","deep-reinforcement-learning","openai-gym"],"created_at":"2024-11-26T05:15:12.677Z","updated_at":"2026-04-17T05:03:23.515Z","avatar_url":"https://github.com/matteo4diani.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"An implementation of Deep Q Learning from scratch with PyTorch and OpenAI gym on the ATARI environment (Breakout). The author of this code is Bryan Thornbury (@brthor) and all credit goes to him. I did some minor adjustments needed to keep up with numpy / gym and added some QoL improvements.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmatteo4diani%2Fdeep-q-learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmatteo4diani%2Fdeep-q-learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmatteo4diani%2Fdeep-q-learning/lists"}