{"id":22308710,"url":"https://github.com/mshuqair/reinforcement-learning-grid-world","last_synced_at":"2026-04-15T12:37:03.339Z","repository":{"id":256609155,"uuid":"855917018","full_name":"mshuqair/Reinforcement-Learning-Grid-World","owner":"mshuqair","description":"Implementation of some Reinforcement Learning methods for grid world  in Python","archived":false,"fork":false,"pushed_at":"2025-02-06T16:22:58.000Z","size":215,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-10-19T11:49:51.954Z","etag":null,"topics":["grid-world","monte-carlo","python","q-learning","reinforcement-learning","temporal-differencing-learning"],"latest_commit_sha":null,"homepage":"","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/mshuqair.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,"zenodo":null}},"created_at":"2024-09-11T17:05:30.000Z","updated_at":"2025-02-06T16:23:02.000Z","dependencies_parsed_at":"2024-09-12T02:51:50.364Z","dependency_job_id":"4d98da78-9a12-4238-a219-ab92ddd91178","html_url":"https://github.com/mshuqair/Reinforcement-Learning-Grid-World","commit_stats":null,"previous_names":["mshuqair/reinforcement-learning-grid-world"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/mshuqair/Reinforcement-Learning-Grid-World","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mshuqair%2FReinforcement-Learning-Grid-World","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mshuqair%2FReinforcement-Learning-Grid-World/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mshuqair%2FReinforcement-Learning-Grid-World/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mshuqair%2FReinforcement-Learning-Grid-World/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mshuqair","download_url":"https://codeload.github.com/mshuqair/Reinforcement-Learning-Grid-World/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mshuqair%2FReinforcement-Learning-Grid-World/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31842185,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-15T11:29:19.690Z","status":"ssl_error","status_checked_at":"2026-04-15T11:29:19.171Z","response_time":63,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":["grid-world","monte-carlo","python","q-learning","reinforcement-learning","temporal-differencing-learning"],"created_at":"2024-12-03T20:15:00.415Z","updated_at":"2026-04-15T12:37:03.302Z","avatar_url":"https://github.com/mshuqair.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\n# Reinforcement Learning For Grid World\n- Implementation of Reinforcement Learning to solve the Grid World in Python.\n- The rest of the documentation is coming soon.\n- I plan to use Deep Q-Learning to solve the grid world problem\n- The Q-Learning implementation here follows an epsilon greedy with a decay\n## Introduction\n\n\n## Definition\n\n\n## Conclusions\n\n\n\n## References\n\n\n## Code Requirements\nThe code was run and tested using the following:\n- Python\t\t3.10.11\n- matplotlib\t3.9.0\n- seaborn\t\t0.13.2\n- numpy\t\t\t1.26.3\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmshuqair%2Freinforcement-learning-grid-world","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmshuqair%2Freinforcement-learning-grid-world","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmshuqair%2Freinforcement-learning-grid-world/lists"}