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oaioai:scholarsmine.mst.edu:ele_comeng_facwork-2390

A Parallel Computer-Go Player, using HDP Method

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Publication date
1 January 2001
Publisher
Scholars\u27 Mine
Doi

    Abstract

    The game of Go has simple rules to learn but requires complex strategies to play well, and, the conventional tree search algorithm for computer games is not suited for Go program. Thus, the game of Go is an ideal problem domain for machine learning algorithms. This paper examines the performance of a 19x19 computer Go player, using heuristic dynamic programming (HDP) and parallel alpha-beta search. The neural network based Go player learns good Go evaluation functions and wins about 30% of the games in a test series on 19x19 boar

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    Missouri University of Science and Technology (Missouri S&T): Scholars' Mine

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    Last time updated on 17/10/2019

    This paper was published in Missouri University of Science and Technology (Missouri S&T): Scholars' Mine.

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