大貧民ゲームにおけるモンテカルロ法の基礎実験-広島市立大学機関リポジトリ

This paper applies the Monte Carlo method to a multiplayer game with imperfect information and examines the effectiveness. The Monte Carlo method is employed for search, since multiplayer imperfect information games have enormous search space. The effectiveness of the Monte Carlo method depends on the strength of each player during play-out. In order to improve the ability of Monte Carlo methods, rule-based selection is added to random selection during play-out. Experiments are conducted to check whether the rule-based selection is effectives.

掲載雑誌名

2012 IEEE SMC Hiroshima Chapter Young Researchers' Workshop Proceedings = 2012 IEEE SMC Hiroshima Chapter 若手研究会講演論文集

開始ページ

終了ページ

出版年月日

2012-07

出版者

IEEE SMC Hiroshima Chapter

本文言語

日本語

資料タイプ

会議発表論文

著者版フラグ

著者版

権利情報

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