{"id":34847512,"url":"https://github.com/benbaarber/rl","last_synced_at":"2025-12-25T18:38:34.635Z","repository":{"id":234814644,"uuid":"789219662","full_name":"benbaarber/rl","owner":"benbaarber","description":"A rust reinforcement learning library","archived":false,"fork":false,"pushed_at":"2024-08-03T20:43:36.000Z","size":453,"stargazers_count":43,"open_issues_count":16,"forks_count":7,"subscribers_count":3,"default_branch":"main","last_synced_at":"2025-10-02T06:14:06.658Z","etag":null,"topics":["burn","deep-learning","machine-learning","ml","reinforcement-learning","rl","rust"],"latest_commit_sha":null,"homepage":"https://crates.io/crates/rl","language":"Rust","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/benbaarber.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":"2024-04-20T00:34:57.000Z","updated_at":"2025-09-29T08:43:03.000Z","dependencies_parsed_at":"2024-05-03T00:49:18.027Z","dependency_job_id":"b42ea3f2-f689-484b-9ee8-8acc9719092a","html_url":"https://github.com/benbaarber/rl","commit_stats":null,"previous_names":["benbaarber/rl"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/benbaarber/rl","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/benbaarber%2Frl","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/benbaarber%2Frl/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/benbaarber%2Frl/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/benbaarber%2Frl/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/benbaarber","download_url":"https://codeload.github.com/benbaarber/rl/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/benbaarber%2Frl/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28034419,"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":"2025-12-25T02:00:05.988Z","response_time":58,"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":["burn","deep-learning","machine-learning","ml","reinforcement-learning","rl","rust"],"created_at":"2025-12-25T18:38:32.603Z","updated_at":"2025-12-25T18:38:34.622Z","avatar_url":"https://github.com/benbaarber.png","language":"Rust","funding_links":[],"categories":[],"sub_categories":[],"readme":"# rl - A rust reinforcement learning library\n\n[![Current Crates.io Version](https://img.shields.io/crates/v/rl.svg)](https://crates.io/crates/rl)\n[![Documentation](https://img.shields.io/badge/Docs-latest-blue)](https://docs.rs/rl/0.4.0/rl/)\n[![Rust Version](https://img.shields.io/badge/Rust-v1.79.0+-tan)](https://releases.rs/docs/1.79.0)\n\n*NOTE: I am currently busy with other tasks, so this project is on hiatus. Development will resume soon.*\n\n## About\n**rl** is a fully Rust-native reinforcement learning library with the goal of providing a unified RL development experience, aiming to do for RL what libraries like PyTorch did for deep learning. By leveraging Rust's powerful type system and the [**burn**](https://github.com/tracel-ai/burn) library, **rl** enables users to reuse production-ready SoTA algorithms with arbitrary environments, state spaces, and action spaces. \n\nThis project also aims to provide a clean platform for experimentation with new RL algorithms. By combining **burn**'s powerful deep learning features with **rl**'s provided RL sub-algorithms and components, users can create, test, and benchmark their own new experimental agents without having to start from scratch.\n\nCurrently, **rl** is in its early stages. Contributors are more than welcome!\n\n## Features\n - High-performance production-ready implementations of all SoTA RL algorithms\n - Detailed logging and training visualization TUI (see image below)\n - Maximum extensibility for creating and testing new experimental algorithms\n - Gym environments\n - A comfortable learning experience for those new to RL\n - General RL peripherals and utility functions\n\n![TUI example](https://github.com/benbaarber/rl/assets/6320364/d0c545bb-a5f4-4487-8e33-1a02a3fb4577)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbenbaarber%2Frl","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbenbaarber%2Frl","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbenbaarber%2Frl/lists"}