Reinforcement learning is the branch of machine learning concerned with sequential decision-making problems. A few interesting libraries exist for applying classical methods (such as Q-learning), including REnforce and rurel. However, implementations of state-of-art learning algorithms are currently limited to rsrl to the best of our knowledge.
A fast, extensible reinforcement learning framework in Rust
Flexible, reusable reinforcement learning (Q learning) implementation
NivenT/REnforce [ repo · ]
Reinforcement library written in Rust