{"id":13689290,"url":"https://github.com/opium-sh/prl","last_synced_at":"2025-05-01T23:33:33.533Z","repository":{"id":43242958,"uuid":"238726126","full_name":"opium-sh/prl","owner":"opium-sh","description":"Open-source library for a reinforcement learning research.","archived":false,"fork":false,"pushed_at":"2022-12-08T03:04:51.000Z","size":48,"stargazers_count":54,"open_issues_count":5,"forks_count":5,"subscribers_count":5,"default_branch":"master","last_synced_at":"2024-08-03T15:16:53.187Z","etag":null,"topics":["artificial-intelligence","deep-learning","machine-learning","neural-networks","openai-gym","opium-sh","python","reinforcement-learning"],"latest_commit_sha":null,"homepage":"","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/opium-sh.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":"2020-02-06T15:55:52.000Z","updated_at":"2024-03-18T23:53:40.000Z","dependencies_parsed_at":"2023-01-25T04:00:48.150Z","dependency_job_id":null,"html_url":"https://github.com/opium-sh/prl","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/opium-sh%2Fprl","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/opium-sh%2Fprl/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/opium-sh%2Fprl/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/opium-sh%2Fprl/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/opium-sh","download_url":"https://codeload.github.com/opium-sh/prl/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":224282215,"owners_count":17285792,"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":["artificial-intelligence","deep-learning","machine-learning","neural-networks","openai-gym","opium-sh","python","reinforcement-learning"],"created_at":"2024-08-02T15:01:41.577Z","updated_at":"2024-11-12T13:31:19.562Z","avatar_url":"https://github.com/opium-sh.png","language":"Python","funding_links":[],"categories":["Python"],"sub_categories":[],"readme":"# People's Reinforcement Learning (PRL)\n\n![](https://img.shields.io/badge/python-3.6-blue.svg)\n![](https://img.shields.io/badge/code%20style-black-000000.svg)\n![](https://readthedocs.org/projects/prl/badge/?version=latest)\n[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3662113.svg)](https://doi.org/10.5281/zenodo.3662113)\n\n\n## Description\n\nThis is a reinforcement learning framework made with research activity in mind.\nYou can read mode about PRL in our \n[introductory blog post](https://medium.com/asap-report/prl-a-novel-approach-to-building-a-reinforcement-learning-framework-in-python-208cb8ae9349?sk=ea595f44fc8bd3f2aa4416c997d16891),\n[in-depth look into library](https://medium.com/asap-report/in-depth-look-into-prl-the-new-reinforcement-learning-framework-in-python-7ac57c282a61?source=friends_link\u0026sk=f9c062f9ac8fd045d71f7319872e44b5), \n[documentation](https://prl.readthedocs.io/en/latest/index.html) or\n[wiki](https://gitlab.com/opium-sh/prl/wikis/home).\n\n## System requirements\n\n* ```python 3.6```\n* ```swig```\n* ```python3-dev```\n\nWe recommend using ```virtualenv``` for installing project dependencies.\n\n## Installation\n\n* clone the project:\n\n  ```\n  git clone git@gitlab.com:opium-sh/prl.git\n  ```\n\n* create and activate a virtualenv for the project (you can skip this step if you are not using virtualenv)\n\n  ```\n  virtualenv -p python3.6 your/path \u0026\u0026 source your/path/bin/activate\n  ```\n\n* install dependencies:\n\n  ```\n  pip install -r requirements.txt\n  ```\n  \n* install library\n\n  ```\n  pip install -e .\n  ```\n\n* run example:\n\n   ```\n   cd examples\n   python cart_pole_example_cross_entropy.py\n   ```\n   \n## Citation\n\nIf you use PRL in your work or research please cite us as:\n\nTempczyk, P., Sliwowski, M., Kozakowski, P., Smuda, P., Topolski, B., Nabrdalik, F., \u0026 Malisz, T. (2020). opium-sh/prl: First release of Peoples’s Reinforcement Learning (PRL). Zenodo. https://doi.org/10.5281/ZENODO.3662113\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fopium-sh%2Fprl","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fopium-sh%2Fprl","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fopium-sh%2Fprl/lists"}