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.
Ergonomic auto differentiation in Rust, with pytorch like apis.
Last Commit: 2022-09-25 Last Published: 2022-08-20
Flexible, reusable reinforcement learning (Q learning) implementation
Last Commit: 2022-09-11 Last Published: 2022-07-18
A fast, extensible reinforcement learning framework in Rust
Last Commit: 2021-11-16 Last Published: 2020-06-18