{"id":26296046,"url":"https://github.com/mo42/rleval","last_synced_at":"2025-03-15T04:16:46.501Z","repository":{"id":153144164,"uuid":"74785586","full_name":"mo42/RLEval","owner":"mo42","description":"Evaluate (test and compare) Reinforcement Learning Algorithms","archived":false,"fork":false,"pushed_at":"2024-02-04T19:09:56.000Z","size":47,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-06T11:06:26.850Z","etag":null,"topics":["agent","algorithm","gradient-descent","reinforcement-learning","reward"],"latest_commit_sha":null,"homepage":"","language":"C++","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/mo42.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}},"created_at":"2016-11-25T20:12:00.000Z","updated_at":"2024-08-07T12:36:03.000Z","dependencies_parsed_at":"2024-01-25T13:52:03.580Z","dependency_job_id":null,"html_url":"https://github.com/mo42/RLEval","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/mo42%2FRLEval","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mo42%2FRLEval/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mo42%2FRLEval/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mo42%2FRLEval/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mo42","download_url":"https://codeload.github.com/mo42/RLEval/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243681046,"owners_count":20330155,"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":["agent","algorithm","gradient-descent","reinforcement-learning","reward"],"created_at":"2025-03-15T04:16:46.024Z","updated_at":"2025-03-15T04:16:46.482Z","avatar_url":"https://github.com/mo42.png","language":"C++","readme":"# RLTest\nRLTest is a C++ library for testing reinforcement learning algorithms. It was\ndeveloped in parallel to a course in reinforcement learning in 2016.\n\nThe main goal was to implement a couple of reinforcement learning [algorithms](#algorithms)\nand a couple of artificial [worlds](#worlds) in which the actions of the algorithms can be\nevaluated and compared.\n\n## Requirements:\n- C++ compiler\n- CMake\n\n## Installation\n```sh\ngit clone https://github.com/mo42/RLEval.git \u0026\u0026 cd RLEval\ngit submodule update --init --recursive\nmkdir build \u0026\u0026 cd build\ncmake ../\nmake\n```\n\n## Algorithms\n- PoWER\n- Simple Policy Gradient\n- SARSA (discrete)\n- Q-learning (discrete)\n- TDLearning (discrete)\n\n## Worlds\n- Cart pole world (balancing a pole on a cart)\n- Mountain car world (drive car uphill by building up momentum)\n- Simple and discrete maze world\n- Discrete cliff world (\n- Adapter world (a continuous world that can be instantiated with a discrete\n  world. With one-hot coding, algorithms for continuous worlds can work on\n  discrete worlds.)\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmo42%2Frleval","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmo42%2Frleval","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmo42%2Frleval/lists"}