muzero
[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)
High-performance C++ implementation of Monte Carlo Tree Search (MCTS) with Python bindings. Supports AlphaZero and MuZero paradigms, featuring batched network evaluation and efficient tree reuse.
Reinforcement learning in pure JAX.
A lightweight, standalone, and modular Gumbel MCTS implementation
Machine learning agent
