Reinforcement learning for training a computer program of Chinese chess

Authors:
Wing-Kwong Wong;Han-Hung Chen;Sheng-Cheng Hsu
Affiliations:
Department of Electronic Engineering, National Yunlin University of Science and Technology, No. 123, University Road, Section 3, Douliou, Yunlin 64002, Taiwan.;Institute of Computer Science and Information Engineering, National Yunlin University of Science and Technology, No. 123, University Road, Section 3, Douliou, Yunlin 64002, Taiwan.;Department of Information Management, Nan Kai University of Technology, No. 568, Chungcheng Road, Caotun, Nantou 542, Taiwan
Venue:
International Journal of Intelligent Information and Database Systems
Year:
2009

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Abstract

Computer chess has always been an interesting subject in artificial intelligence (AI). We propose a method to design a Chinese chess program that improves its performance through training. In this study, we utilise temporal-difference learning, which is a method of reinforcement learning, where each position receives reward value from the next position and the value of the position is modified by a heuristic evaluation function. The experimental results show that the program indeed improved its performance by reinforcement learning.