{"id":23127655,"url":"https://github.com/hlfshell/rbe595-rl-project","last_synced_at":"2025-05-07T08:32:53.434Z","repository":{"id":146170793,"uuid":"609609248","full_name":"hlfshell/rbe595-rl-project","owner":"hlfshell","description":"Reinforcement Learning Project","archived":false,"fork":false,"pushed_at":"2023-05-03T01:04:43.000Z","size":77710,"stargazers_count":12,"open_issues_count":1,"forks_count":1,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-03-31T08:12:08.772Z","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":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/hlfshell.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":"2023-03-04T17:40:02.000Z","updated_at":"2025-03-07T23:25:35.000Z","dependencies_parsed_at":null,"dependency_job_id":"63cdada1-450e-44d5-92a6-21fad6902e53","html_url":"https://github.com/hlfshell/rbe595-rl-project","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/hlfshell%2Frbe595-rl-project","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hlfshell%2Frbe595-rl-project/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hlfshell%2Frbe595-rl-project/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hlfshell%2Frbe595-rl-project/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/hlfshell","download_url":"https://codeload.github.com/hlfshell/rbe595-rl-project/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":252843006,"owners_count":21812786,"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":"2024-12-17T09:14:23.285Z","updated_at":"2025-05-07T08:32:53.410Z","avatar_url":"https://github.com/hlfshell.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# rbe595-rl-project\nReinforcement Learning Project\n\nThis project is an attempt to learn PPO (Proximal Policy Optimzation) with a complex robotic arm environment.\n\n\u003cimg src=\"imgs/2_objects_approx_300_average.gif\"\u003e\n\n\u003cimg src=\"imgs/1_with_blocker_average_200.gif\"\u003e\n\nFiles of note:\n\n* `train_arm.py` - with some modification, it will kick off training a configurable environment of the robotic arm\n* `playback.py` - with some modification, it will load a given agent's model file and execute it on a given environment for several episodes, then save the results to a `.gif` file.\n* `agents` folder has all trained agents for given environment configurations and experiments","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhlfshell%2Frbe595-rl-project","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhlfshell%2Frbe595-rl-project","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhlfshell%2Frbe595-rl-project/lists"}