{"id":16108084,"url":"https://github.com/makaveli10/reinforcementlearning","last_synced_at":"2025-03-18T09:30:25.658Z","repository":{"id":134713191,"uuid":"248044260","full_name":"makaveli10/reinforcementLearning","owner":"makaveli10","description":"Reinforcement Learning - Implementation of Exercises, algorithms from the book Sutton Barto and David silver's RL course in Python, OpenAI Gym.","archived":false,"fork":false,"pushed_at":"2020-05-03T13:39:21.000Z","size":7169,"stargazers_count":24,"open_issues_count":0,"forks_count":4,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-02-28T08:29:40.218Z","etag":null,"topics":["david-silver-course","double-dqn","dqn","dqn-pytorch","dynamic-programming","experience-replay","machine-learning","model-free-rl","monte-carlo-methods","n-step-bootstrapping","n-step-sarsa","prioritized-experience-replay","q-learning","q-learning-vs-sarsa","random-walk","reinforcement-learning","sarsa","sutton-gambler","sutton-gridworld","td-learning"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/makaveli10.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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":"2020-03-17T18:28:32.000Z","updated_at":"2024-11-12T12:03:48.000Z","dependencies_parsed_at":null,"dependency_job_id":"163e4c00-6348-48d2-bf43-14b513bbc3c3","html_url":"https://github.com/makaveli10/reinforcementLearning","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/makaveli10%2FreinforcementLearning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/makaveli10%2FreinforcementLearning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/makaveli10%2FreinforcementLearning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/makaveli10%2FreinforcementLearning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/makaveli10","download_url":"https://codeload.github.com/makaveli10/reinforcementLearning/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243910666,"owners_count":20367546,"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","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":["david-silver-course","double-dqn","dqn","dqn-pytorch","dynamic-programming","experience-replay","machine-learning","model-free-rl","monte-carlo-methods","n-step-bootstrapping","n-step-sarsa","prioritized-experience-replay","q-learning","q-learning-vs-sarsa","random-walk","reinforcement-learning","sarsa","sutton-gambler","sutton-gridworld","td-learning"],"created_at":"2024-10-09T19:25:20.148Z","updated_at":"2025-03-18T09:30:25.640Z","avatar_url":"https://github.com/makaveli10.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"### Learning RL\n\nThis repository is highly inspired from [Denny Britz RL repo](https://github.com/dennybritz/reinforcement-learning) contains\nsolutions to exercise from the book and from the David Silver's RL course. Link to both resources:\n\n- [David Silver's Reinforcement Learning Course](http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html)\n- [Reinforcement Learning: An Introduction (2nd Edition)](http://incompleteideas.net/book/RLbook2018.pdf)\n- [Lecture Slides](https://www.davidsilver.uk/teaching/)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmakaveli10%2Freinforcementlearning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmakaveli10%2Freinforcementlearning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmakaveli10%2Freinforcementlearning/lists"}