Applying Artificial Neural Network combined with TD(λ) to Computer Chinese Chess
This paper discusses whether Artificial Neural Network combined with TD(λ) method can be successfully applied to computer Chinese chess. Artificial Neural Network (ANN) is used to represent the evaluation function. Learning occurs by using TD(λ) algorithm on the results of high-level database games. Experiments show that the proposed technique can improve the performance of computer Chinese chess.
Computer Chinese chess Evaluation function Artificial neural network TD(λ)algorithm
Jue Wang Ran Cheng Jiao Wang
College of Information Science and Engineering, Northeastern University, Shenyang 110004
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
3207-3211
2009-06-17(万方平台首次上网日期,不代表论文的发表时间)