A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
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Updated
Jun 6, 2024 - Jupyter Notebook
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)
ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation
Chess reinforcement learning by AlphaGo Zero methods.
Code and other material for the book "Deep Learning and the Game of Go"
Reversi reinforcement learning by AlphaGo Zero methods.
Congratulation to DeepMind! This is a reengineering implementation (on behalf of many other git repo in /support/) of DeepMind's Oct19th publication: [Mastering the Game of Go without Human Knowledge]. The supervised learning approach is more practical for individuals. (This repository has single purpose of education only)
中国象棋alpha zero程序
A student implementation of Alpha Go Zero
PyTorch implementation of AlphaZero Connect from scratch (with results)
Connect4 reinforcement learning by AlphaGo Zero methods.
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.
Reinforcing Your Learning of Reinforcement Learning
A PyTorch implementation of DeepMind's AlphaZero agent to play Go and Gomoku board games
SAI: a fork of Leela Zero with variable komi.
Computer go engine using Monte-Carlo Tree Search written in Python3.
A very fast implementation of AlphaZero, applied to games like Splendor, Santorini, The Little Prince, … Browser version available
Board Game Reinforcement Learning using AlphaZero method. including Makhos (Thai Checkers), Reversi, Connect Four, Tic-tac-toe game rules
A reinforcement learning based solver for combinatorial problems
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