A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more - suragnair/alpha-zero-general

A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.

A PyTorch implementation of DeepMind's AlphaZero agent to play Go and Gomoku board games - michaelnny/alpha_zero

Simple C++ project that includes header only implementations of Monte Carlo Tree Search(MCTS), Temporal Difference Learning, Minimax, and other agents to evaluate their performance in various two player games. Also includes an implementation of AlphaZero for Connect4.

A generic, simple and fast implementation of Deepmind's AlphaZero algorithm. - jonathan-laurent/AlphaZero.jl

An implementation of AlphaZero, trained to master Tic-Tac-Toe and Four in a row - CogitoNTNU/AlphaZero

Chess reinforcement learning by AlphaGo Zero methods. - Zeta36/chess-alpha-zero

Minimal AlphaZero in PyTorch, trained on Connect4 on a 6x6 board. - GitHub - zhihanyang2022/alpha-zero: Minimal AlphaZero in PyTorch, trained on Connect4 on a 6x6 board.

Contribute to foersterrobert/AlphaZero development by creating an account on GitHub.

Because AlphaZero is resource-hungry, successful open-source implementations (such as Leela Zero) are written in low-level languages (such as C++) and optimized for highly distributed computing environments. This makes them hardly accessible for students, researchers and hackers. Many simple Python implementations can be found on Github...

A fast, generalized, and modified implementation of Deepmind's distinguished AlphaZero in PyTorch. - kevaday/alphazero-general

This repo demonstrates an implementation of AlphaZero framework for Chess, using python and PyTorch.

Clean, tested, & modular AlphaZero implementation with multiplayer support. - petosa/simple-alpha-zero

A Simple Alpha(Go) Zero Tutorial 29 December 2017 · This tutorial walks through a synchronous single-thread single-GPU (read malnourished) game-agnostic implementation of the recent AlphaGo Zero paper by DeepMind. It's a beautiful piece of work that trains an agent for the game of Go through ...

Generic implementation of AlphaZero. Contribute to minqi/alphazero development by creating an account on GitHub.

An implementation of AlphaZero for any game, inspired by alpha-zero-general. It uses multiprocessing and cython to greatly increase the performance. Due to certain optimizations, the project requires a gpu.

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. - blanyal/alpha-zero

C++ & Cython based efficient and extendable implementation of AlphaZero based on Deepmind's papers Mastering the game of Go without Human Knowledge and A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play. Tensorflow 2.x and PyTorch implementations available. ... Install dependencies with conda environment (optional but strongly recommended) and pip. $ git clone https://github.com/klinime/AlphaZero.git $ cd AlphaZero $ conda create -n az_env python=3.7 $ conda activate az_env $ pip install -r requirements.txt

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row) - GitHub - junxiaosong/AlphaZero_Gomoku: An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

A very fast implementation of AlphaZero, applied to games like Splendor, Santorini, The Little Prince, … Browser version available - cestpasphoto/alpha-zero-general