Reinforcement learning for training a computer program of Chinese chess. (13th August 2009)

• Record Type: Journal Article
• Authors: Wong, Wing-Kwong; Chen, Han-Hung; Hsu, Sheng-Cheng
• Is Part Of: International journal of intelligent information and database systems. Volume 3:Number 3(2009)
• Page Start: 246
• Page End: 258
• Publication Date: 2009-08-13
• Subjects: reinforcement learning -- Chinese chess -- intelligent information systems -- computer chess -- performance improvement -- training -- temporal-difference learning; Database management -- Computer programs -- Periodicals; Information retrieval -- Computer programs -- Periodicals; Information storage and retrieval systems -- Computer programs -- Periodicals; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; Intelligent agents (Computer software) -- Periodicals; 006.33
• Languages: English
• ISSNs: 1751-5858

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.