Ecosyste.ms: Awesome

AlphaZero implementation for Othello, Connect-Four and Tic-Tac-Toe based on "Mastering the game of Go without human knowledge" and "Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm" by DeepMind.

alpha-zero alphago-zero alphazero connect-four connect4 deep-learning deepmind game machine-learning mcts othello reinforcement-learning resnet reversi self-play tensorflow tic-tac-toe tictactoe

Last synced: 30 Oct 2024

https://github.com/airlegend/chessrl

Deep Reinforcement Learning for Chess

alpha-zero chess chess-engine deep-learning neural-network reinforcement-learning

Last synced: 29 Oct 2024

https://github.com/jianzhnie/rlzero

A clean and easy implementation of MuZero, AlphaZero and Self-Play reinforcement learning algorithms for any game.

alpha-zero mcts multi-agent muzero reinforcement-learning self-play

Last synced: 27 Oct 2024

https://github.com/sharpobject/spender

It's splendor

alpha-zero alphago-zero splendor

Last synced: 14 Oct 2024

https://github.com/0xnineteen/hyper-alpha-zero

hyper optimized alpha zero implementation to play gomoku (distributed training with ray, mcts with cython)

alpha-go alpha-zero cpp cython deepmind mcts monte-carlo-tree-search multi-core python ray

Last synced: 12 Oct 2024