{"id":20103490,"url":"https://github.com/pythonlessons/rockrl","last_synced_at":"2025-05-06T08:31:17.236Z","repository":{"id":161429040,"uuid":"632119197","full_name":"pythonlessons/RockRL","owner":"pythonlessons","description":"Reinforcement Learning library for public","archived":false,"fork":false,"pushed_at":"2024-04-04T11:26:34.000Z","size":1271,"stargazers_count":6,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-25T23:46:37.018Z","etag":null,"topics":[],"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/pythonlessons.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGELOG.md","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}},"created_at":"2023-04-24T18:47:21.000Z","updated_at":"2025-02-13T11:30:55.000Z","dependencies_parsed_at":"2024-01-17T11:46:25.249Z","dependency_job_id":"acb2ba84-8022-44ef-8976-ed505e472b22","html_url":"https://github.com/pythonlessons/RockRL","commit_stats":null,"previous_names":[],"tags_count":6,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pythonlessons%2FRockRL","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pythonlessons%2FRockRL/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pythonlessons%2FRockRL/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pythonlessons%2FRockRL/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/pythonlessons","download_url":"https://codeload.github.com/pythonlessons/RockRL/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":250912702,"owners_count":21506867,"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":[],"created_at":"2024-11-13T17:36:10.053Z","updated_at":"2025-05-06T08:31:16.668Z","avatar_url":"https://github.com/pythonlessons.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# RockRL\nReinforcement Learning library for public, for now, it only supports **TensorFlow**.\n\n# Installation\n```bash\npip install rockrl\n```\n\n# Environment requirements\nRL algorithms are implemented to support `gymnasium==0.29.1` version. Main requirements are that:\n- `env.reset()` would return `state` and `info` states.\n- `env.step(action)` would return `state`, `reward`, `terminated`, `truncated`, `info` states.\n\n# Supported Algorithms\n- [x] PPO (Discrete and Continuous)\n\n# Code Examples\n## Proximal Policy Optimization (PPO):\n- [```RockRL/tensorflow/examples/ppo/LunarLander-v2/LunarLander-v2.py```](https://github.com/pythonlessons/RockRL/tree/main/rockrl/tensorflow/examples/ppo/LunarLander-v2) is an example of using PPO to solve LunarLander-v2 (Discrete) environment.\n- [```RockRL/tensorflow/examples/ppo/BipedalWalker-v3/BipedalWalker-v3.py```](https://github.com/pythonlessons/RockRL/tree/main/rockrl/tensorflow/examples/ppo/BipedalWalker-v3) is an example of using PPO to solve BipedalWalker-v2 (Continuous) environment.\n- [```RockRL/tensorflow/examples/ppo/BipedalWalkerHardcore-v3/BipedalWalkerHardcore-v3.py```](https://github.com/pythonlessons/RockRL/tree/main/rockrl/tensorflow/examples/ppo/BipedalWalkerHardcore-v3) is an example of using PPO to solve BipedalWalker-v3 Hardcore (Continuous) environment.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpythonlessons%2Frockrl","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpythonlessons%2Frockrl","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpythonlessons%2Frockrl/lists"}