tspooner/rsrl
A fast, safe and easy to use reinforcement learning framework in Rust.
Provides modular RL algorithm implementations (Q-Learning, policy gradients) with linear function approximators and basis projections (Fourier, RBF) for continuous state spaces. Built on `ndarray` with optional BLAS acceleration for efficient numerical computation. Designed around composable traits for agents, policies, and environments, enabling rapid prototyping of RL experiments.
202 stars and 83 monthly downloads. No commits in the last 6 months.
Stars
202
Forks
15
Language
Rust
License
MIT
Category
Last pushed
Nov 16, 2021
Monthly downloads
83
Commits (30d)
0
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