{"id":16110263,"url":"https://github.com/florianvazelle/unity-rl","last_synced_at":"2025-08-25T17:04:07.420Z","repository":{"id":66992263,"uuid":"345607384","full_name":"florianvazelle/unity-rl","owner":"florianvazelle","description":"Markov Decision Process and Temporal Difference algorithms","archived":false,"fork":false,"pushed_at":"2021-03-14T14:25:14.000Z","size":298,"stargazers_count":6,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-13T17:45:57.745Z","etag":null,"topics":["gridworld","markov-decision-processes","monte-carlo","qlearning","reinforcement-learning","sarsa","sokoban","tictactoe","unity"],"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/florianvazelle.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":"2021-03-08T09:54:05.000Z","updated_at":"2025-03-23T12:50:37.000Z","dependencies_parsed_at":null,"dependency_job_id":"3ba3b868-1368-41c6-98a6-2d10a12ce033","html_url":"https://github.com/florianvazelle/unity-rl","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/florianvazelle/unity-rl","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/florianvazelle%2Funity-rl","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/florianvazelle%2Funity-rl/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/florianvazelle%2Funity-rl/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/florianvazelle%2Funity-rl/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/florianvazelle","download_url":"https://codeload.github.com/florianvazelle/unity-rl/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/florianvazelle%2Funity-rl/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":272100683,"owners_count":24873442,"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","status":"online","status_checked_at":"2025-08-25T02:00:12.092Z","response_time":1107,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["gridworld","markov-decision-processes","monte-carlo","qlearning","reinforcement-learning","sarsa","sokoban","tictactoe","unity"],"created_at":"2024-10-09T19:36:38.070Z","updated_at":"2025-08-25T17:04:07.379Z","avatar_url":"https://github.com/florianvazelle.png","language":"C#","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Unity RL\n\nUnity RL is a Unity C# application with multiple implementations of reinforcement learning algorithms on three mini-games. \n\n## Setup\n\nThis project work on Unity 2019.4.14f1\n\n## Table of Contents\n\n### Algorithms\n\n- Markov Decision Process\n  - [Policy Iteration](https://github.com/florianvazelle/LIN_THENEVIN_VAZELLE_5ADJV_RL/blob/main/Assets/Scripts/Algo/Markov/MarkovPolicy.cs)\n  - [Value Iteration](https://github.com/florianvazelle/LIN_THENEVIN_VAZELLE_5ADJV_RL/blob/main/Assets/Scripts/Algo/Markov/MarkovValue.cs)\n- [Monte Carlo](https://github.com/florianvazelle/LIN_THENEVIN_VAZELLE_5ADJV_RL/blob/main/Assets/Scripts/Algo/TemporalDifference/MonteCarlo.cs)\n  - Exploring Starts\n  - On Policy (first/evry visit)\n  - Off Policy (first/evry visit)\n- Temporal Difference\n  - [SARSA](https://github.com/florianvazelle/LIN_THENEVIN_VAZELLE_5ADJV_RL/blob/main/Assets/Scripts/Algo/TemporalDifference/SARSA.cs)\n  - [QLearning](https://github.com/florianvazelle/LIN_THENEVIN_VAZELLE_5ADJV_RL/blob/main/Assets/Scripts/Algo/TemporalDifference/QLearning.cs)\n\n### Games\n\n- [Grid World](https://github.com/florianvazelle/LIN_THENEVIN_VAZELLE_5ADJV_RL/blob/main/Assets/Scripts/Game/GridWorld/GridWorld.cs)\n- [Tic Tac Toe](https://github.com/florianvazelle/LIN_THENEVIN_VAZELLE_5ADJV_RL/blob/main/Assets/Scripts/Game/TicTacToe/TicTacToe.cs)\n- [Sokoban](https://github.com/florianvazelle/LIN_THENEVIN_VAZELLE_5ADJV_RL/blob/main/Assets/Scripts/Game/Sokoban/Sokoban.cs)\n\n## Demos\n\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"https://florianvazelle.github.io/resources/video/gridworld.gif\" height=\"300\" /\u003e\n  \u003cimg src=\"https://florianvazelle.github.io/resources/video/tictactoe.gif\" height=\"300\" /\u003e\n  \u003cimg src=\"https://florianvazelle.github.io/resources/video/sokoban.gif\" height=\"300\" /\u003e\n\u003c/p\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fflorianvazelle%2Funity-rl","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fflorianvazelle%2Funity-rl","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fflorianvazelle%2Funity-rl/lists"}