 |
VOOZH | about |
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation
An environment of the board game Go using OpenAI's Gym API
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.
Learning from zero (mostly based off of AlphaZero) in General Game Playing.
AlphaZero-like AI solution for playing Ultimate Tic-Tac-Toe in the browser
AlphaGo Zero implementation using Flux.jl
Using self-play, MCTS, and a deep neural network to create a hearthstone ai player
Deep Reinforcement Learning for Chess
A clean and easy implementation of MuZero, AlphaZero and Self-Play reinforcement learning algorithms for any game.
An implementation of the AlphaZero algorithm for adversarial games to be used with the machine learning framework of your choice
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.
HybridAlpha - a mix between AlphaGo Zero and AlphaZero for multiple games
A simplified version of Shogi with the AI is trained by alpha-zero-type training method
hyper optimized alpha zero implementation to play gomoku (distributed training with ray, mcts with cython)
presentation on AlphaZero for AI seminar (http://ktiml.mff.cuni.cz/~bartak/ui_seminar/)
Visual representation of RTS game, supported by deep reinforcement learning algorithm Alpha Zero written in python.
Java based alpha zero reinforcement learning. The core module suppports implementing any adversary board game. Example implementation for Tic Tac Toe.
Add a description, image, and links to the alpha-zero topic page so that developers can more easily learn about it.
To associate your repository with the alpha-zero topic, visit your repo's landing page and select "manage topics."