Search Packages

pgx

♟️ Vectorized RL game environments in JAX

lightzero

[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)

trimcts

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.

alphatriangle

AlphaZero implementation for a triangle puzzle game (uses trianglengin).

zero-play

Teach a computer to play any game

lczero-bindings

Open source neural network chess engine with GPU acceleration and broad hardware support.

dopamax

Reinforcement learning in pure JAX.

hometrainer

generic python implementation of the alpha zero algorithm