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
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Updated
May 20, 2025 - Rust