ChineseChessAI

AI Agent for Chinese Chess - CS 221 Project

• Li Deng | 2016 Autumn
• Stanford CS 221 Artificial Intelligence <br> <br>

<div style="text-align: center"> <img src="https://raw.githubusercontent.com/dengl11/ChineseChessAI/master/public/resource/img/overview.png" style="width: 500px;"/> </div> <br>

Install

# clone
https://github.com/dengl11/ChineseChessAI.git 
cd ChineseChessAI 

# Install dependencies
npm install

# start server
npm start

Open your browser, go to http://localhost:3000/ and you should be good to go

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Live Performance Analysis

<div style="text-align: center"> <img src="https://raw.githubusercontent.com/dengl11/ChineseChessAI/master/docs/resource/img/learn.png" style="width: 500px;"/> <img src="https://raw.githubusercontent.com/dengl11/ChineseChessAI/master/docs/resource/img/effenciency.png" style="width: 500px;"/> </div>

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Demo

<div style="text-align: center"> <img src="https://raw.githubusercontent.com/dengl11/ChineseChessAI/master/docs/resource/img/game.gif" style="width: 600px;"/> </div>

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Disclaimer

• AI algofithms in the backend computation engine need to be enchanced (I was a bit hasty when then poster session was approaching >_<)

  • MCTS and TDLearning implementations are not solid
  • reinforcement learning part seldom works

• Effienciency need to be imporved

  • Current computation engine is in javascript, which is not fast enough (I did not know how to call other executables from nodeJS then..., but now I do, please see below)
  • You may implement a more powerful engine in C/C++ by calling a subprocess in server, NodeJS Child Process should help

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Thanks for your interest :) <br><br>