Rust Reinforcement Learning ML Frameworks

Reinforcement learning frameworks, libraries, and implementations specifically written in Rust. Includes Q-learning, policy gradient methods, deep RL algorithms, and RL environments. Does NOT include RL implementations in other languages, general Rust ML frameworks, or non-RL Rust tools.

There are 12 rust reinforcement learning frameworks tracked. The highest-rated is benbaarber/rl at 37/100 with 50 stars and 28 monthly downloads.

Get all 12 projects as JSON

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#	Framework	Score	Tier	Stars	Language
1	benbaarber/rl A rust reinforcement learning library	37	Emerging	50	Rust
2	tspooner/rsrl A fast, safe and easy to use reinforcement learning framework in Rust.	35	Emerging	202	Rust
3	ingambe/End2End-Job-Shop-Scheduling-CP An end to end reinforcement learning approach with a reinforcement learning...	31	Emerging	34	Python
4	jrcalgo/RelayRL A MultiAgent Distributed Reinforcement Learning Framework primarily for Rust...	24	Experimental	2	Rust
5	lubluniky/rocket-rs High-performance reinforcement learning library for Rust with PPO and A2C algorithms	23	Experimental	7	Rust
6	vagmcs/readapt A Rust reinforcement learning framework.	19	Experimental	—	Rust
7	AbdelStark/gpc_rs Implementation of Generative Robot Policies via Predictive World Modeling in Rust	17	Experimental	3	Rust
8	imcnaugh/ReinforcementLearning Code to go along with my study of the book Reinfforcement Learning by Sutton...	15	Experimental	—	Rust
9	Axect/Forger Forger: Reinforcement Learning Library in Rust	14	Experimental	3	Rust
10	JeffA233/RLGym-Rust Recreation of RLGym done in Rust to reduce compute costs	12	Experimental	3	Rust
11	Mileristovski/AI-DeepReinforcementLearning Deep Reinforcement Learning in Rust is a modular framework implementing key...	12	Experimental	1	Rust
12	Mileristovski/AI-ReinforcementLearning Un projet d'apprentissage par renforcement testant divers algorithmes RL,...	10	Experimental	1	Rust

Comparisons in this category

rl and rsrl (37 vs 35)