Deep Reinforcement Learning in Rust is a modular framework implementing key reinforcement learning algorithms in the Rust programming language. It supports both model-based and model-free approaches, and provides custom training environments such as Grid World, Line World, Tic-Tac-Toe, and Bobail.
 rust artificial-intelligence reinforce monte-carlo-tree-search model-based-reinforcement-learning model-free-rl 
 -  Updated 
May 20, 2025  - Rust