Presentation 1998/7/27
Learning of an evaluation function of the game Othello by EM algorithm
Taku Yoshioka, Shin Ishii,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this report, we discuss a learning method of Normalized Gaussian Network(NGnet)that evaluates states of the game Othello. In order to train the NGnet, we employ on-line EM algorithm, whose convergence was shown to be rapid in our previous studies. Consequently, the computer player employing the trained evaluation function becomes to beat a heuristic-based player with the winning rate of 73%.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Othello / EM algorithm / Normalized Gaussian Network / Radial Basis Functions / Evaluation function / Reinforcement learning
Paper # NC98-41
Date of Issue

Conference Information
Committee NC
Conference Date 1998/7/27(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Learning of an evaluation function of the game Othello by EM algorithm
Sub Title (in English)
Keyword(1) Othello
Keyword(2) EM algorithm
Keyword(3) Normalized Gaussian Network
Keyword(4) Radial Basis Functions
Keyword(5) Evaluation function
Keyword(6) Reinforcement learning
1st Author's Name Taku Yoshioka
1st Author's Affiliation Nara Institute of Science and Technology()
2nd Author's Name Shin Ishii
2nd Author's Affiliation Nara Institute of Science and Technology
Date 1998/7/27
Paper # NC98-41
Volume (vol) vol.98
Number (no) 219
Page pp.pp.-
#Pages 8
Date of Issue