General Go/Baduk books, problems, pro games & more
-
Updated
Nov 14, 2017
General Go/Baduk books, problems, pro games & more
Chess reinforcement learning by AlphaGo Zero methods.
Reversi reinforcement learning by AlphaGo Zero methods.
A clean implementation of a self-play learning algorithm based on AlphaGo Zero (any game, any framework!) + tutorial
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
A replica of the AlphaZero methodology for deep reinforcement learning in Python
Learning 15x15 gomoku from zero!
Board Game Reinforcement Learning using AlphaZero method. including Makhos (Thai Checkers), Reversi, Connect Four, Tic-tac-toe game rules
Reversi 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.
Implementation of Deepmind's AlphaZero algorithm with Caffe and C++
Implementation of an AlphaGo Zero paper in one C++ header file without any dependencies
My Simple Implementation of AlphaGo Zero on Connect4
My implementation of AlphaZero for gomoku (Wu Zi Qi, 五子棋); Poorman's AlphaZero
Omok using MCTS (UCT, PUCT)
Implementations of a Multilayer Perceptron, a Convolutional Neural Network, and Monte Carlo Tree Search applied to Tic-Tac-Toe and Connect Four. A learning project for me to construct the elements in Google's AlphaZero from the ground up.
A replica of the AlphaZero methodology for deep reinforcement learning in Python
AlphaGo Zero Reinforcement Learning Sokoban Solver
Add a description, image, and links to the alphago-zero topic page so that developers can more easily learn about it.
To associate your repository with the alphago-zero topic, visit your repo's landing page and select "manage topics."