Applying artificial neural network combined with TD (λ) to computer Chinese chess

Authors:
Jue Wang;Ran Cheng;Jiao Wang
Affiliations:
College of Information Science and Engineering, Northeastern University, Shenyang;College of Information Science and Engineering, Northeastern University, Shenyang;College of Information Science and Engineering, Northeastern University, Shenyang
Venue:
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Year:
2009

Citing 3
Cited 0

Practical Issues in Temporal Difference Learning

Machine Learning
Learning to evaluate Go positions via temporal difference methods

Computational intelligence in games
Learning to Predict by the Methods of Temporal Differences

Machine Learning

Quantified Score

Hi-index	0.00

Visualization

Abstract

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.