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.
Reinforcement Learning
dfdx [ crate · repo · docs ]
Ergonomic auto differentiation in Rust, with pytorch like apis.
Last Commit: 2024-07-23
Last Published: 2023-07-27
rurel [ crate · repo · docs ]
Flexible, reusable reinforcement learning (Q learning) implementation
Last Commit: 2024-06-25
Last Published: 2024-06-25
rsrl [ crate · repo · docs ]
A fast, extensible reinforcement learning framework in Rust
Last Commit: 2021-11-16
Last Published: 2020-06-18
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