AlphaZero back-end's RESTful APIs for Gomoku also using Cocos2d-x for front-end.
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Updated
Jan 15, 2018 - Python
AlphaZero back-end's RESTful APIs for Gomoku also using Cocos2d-x for front-end.
Example usage of the hometrainer library
Alpha Zero general-purpose reinforcement learning algorithm implemented for the Chess variant Racing Kings.
AlphaZeroを用いた京都将棋のゲームAI
Multi-Agent Reinforcement Learning
Experimental implementation of AlphaZero and AlphaKhan.
Implementation of AlphaZero for playing Dots and Boxes [Python/PyTorch].
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)
Hex game bot powered by reinforcement learning.
Naive Implementation of AlphaZero (WIP)
this is my unfinished engine. using the MCαβ algorithm.
A Reinforcement Learning library for solving custom environments
The pbrain-Z2I is just a gomoku engine which use the protocol of gomocup. (最新权重在咸鱼有售)
Just another Hearthstone Simulator in C# .Net Core, with some A.I. approaches!
Unbeatable AI for the tic tac toe.
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