libtorch based fast alpha-zero implementation

Implementation of AlphaZero algorithm

An agent-based system which over several iterations explores and learns an initially unknown environment, a five by five grid consisting of three different types of spaces, normal locations, pickup locations, and drop off locations.

This model implements the Alpha Zero paper on the game of Reversi/Orthello.

Experimental Python Checkers bot trained using reinforcement learning

Using reinforcement learning with Alpha Zero on chess

Omok using MCTS (UCT, PUCT)

Reinforcement Learning applied to 3-Player Chinese Checkers

AI homework, python, lasagne, theano

AlphaZero for ultimate tic-tac-toe.

꧁༺ 𝓪𝓲-𝓪𝓼𝓼𝓮𝓶𝓫𝓵𝔂 ༻꧂ is an open-source project aimed at solving AI-related problems. It ensures cross-platform compatibility, efficient performance, easy integration, robust error handling, and strong community support. Join us in revolutionizing AI development! 😄🎈🎊

reinforcement learning applied to simple board games

Omok(Gomoku) AI

deep learning demo

Ultimate Tic Tac Toe windows application using AI based on Alpha Zero

The board game Go implemented in JAX for fast game processing and machine learning training.

Pokémon battle simulator that uses the technique proposed in AlphaZero to beat the opponent.

A AlphaZero implementation for Othello 10x10 / Reversi using C++

A collection of papers & notes in deep learning and database.

Alpha Zero Implemented through Libtorch/pytorch