{"id":22683455,"url":"https://github.com/soheil-mp/reinforcement-learning-algorithms","last_synced_at":"2025-04-12T18:26:11.284Z","repository":{"id":49828089,"uuid":"188830752","full_name":"soheil-mp/Reinforcement-Learning-Algorithms","owner":"soheil-mp","description":"Step by Step Reinforcement Learning Tutorials.","archived":false,"fork":false,"pushed_at":"2022-11-19T07:36:40.000Z","size":19304,"stargazers_count":12,"open_issues_count":0,"forks_count":6,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-04-10T12:53:55.683Z","etag":null,"topics":["alphazero","ddpg","deep-q-learning","deep-q-network","discretization","dqn","dynamic-programming","finance","markov-decision-processes","monte-carlo","policy-based-method","reinforce","reinforcement-learning","temporal-difference"],"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/soheil-mp.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}},"created_at":"2019-05-27T11:30:34.000Z","updated_at":"2025-03-26T16:31:18.000Z","dependencies_parsed_at":"2022-08-25T18:20:33.050Z","dependency_job_id":null,"html_url":"https://github.com/soheil-mp/Reinforcement-Learning-Algorithms","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/soheil-mp%2FReinforcement-Learning-Algorithms","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/soheil-mp%2FReinforcement-Learning-Algorithms/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/soheil-mp%2FReinforcement-Learning-Algorithms/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/soheil-mp%2FReinforcement-Learning-Algorithms/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/soheil-mp","download_url":"https://codeload.github.com/soheil-mp/Reinforcement-Learning-Algorithms/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248611808,"owners_count":21133178,"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":["alphazero","ddpg","deep-q-learning","deep-q-network","discretization","dqn","dynamic-programming","finance","markov-decision-processes","monte-carlo","policy-based-method","reinforce","reinforcement-learning","temporal-difference"],"created_at":"2024-12-09T21:12:12.717Z","updated_at":"2025-04-12T18:26:11.256Z","avatar_url":"https://github.com/soheil-mp.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Reinforcement Learning Tutorials\nComplete step by step reinforcement learning tutorials. Below you can find the the exact topics we are going to learn:\n1. Dynamic Programming\n2. Monte Carlo\n3. Temporal Difference (TD)\n4. Convert Continuous Space to Discrete Space\n5. Deep Q-Network\n6. Policy-Based Methods\n7. REINFORCE- Cartpole\n8. REINFORCE and PPO - Pong\n9. DDPG - Pendulum\n10. DDPG - Bipedal\n11. Deep RL for Finance - 1\n12. Deep RL for Finance - 2\n13. AlphaZero - Tic Tak Toe\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsoheil-mp%2Freinforcement-learning-algorithms","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsoheil-mp%2Freinforcement-learning-algorithms","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsoheil-mp%2Freinforcement-learning-algorithms/lists"}