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A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
Open source neural network chess engine with GPU acceleration and broad hardware support.
[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)
A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.
Implement AlphaZero/AlphaGo Zero methods on Chinese chess.
Neural network-based chess engine capable of natural language commentary
♟️ Vectorized RL game environments in JAX
Easily train AlphaZero-like agents on any environment you want!
A Multi-threaded Implementation of AlphaZero (C++)
Free Book about Deep-Learning approaches for Chess (like AlphaZero, Leela Chess Zero and Stockfish NNUE)
A Deep Learning UCI-Chess Variant Engine written in C++ & Python 🦜
An asynchronous/parallel method of AlphaGo Zero algorithm with Gomoku
A pytorch based Gomoku game model. Alpha Zero algorithm based reinforcement Learning and Monte Carlo Tree Search model.
A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each other, and investigate reliability of learned MuZero MDP models.
A gobang robot based on reinforcement learning.
Research project: create a chess engine using Deep Reinforcement Learning
A PyTorch implementation of DeepMind's AlphaZero agent to play Go and Gomoku board games