ID | 14793 |
Eprint ID | 14793
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フルテキストURL | |
著者 |
半田 久志
Graduate School of Natural Science and Technology Okayama University
Kaken ID
publons
researchmap
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抄録 | We previously proposed evolutionary fuzzy systems
of playing Ms.PacMan for the competitions. As a consequence
of the evolution, reflective action rules such that
PacMan tries to eat pills effectively until ghosts come close to PacMan are acquired. Such rules works well. However, sometimes it is too reflective so that PacMan go toward ghosts by herself in longer corridors. In this paper, a critical situation learning module is combined with the evolved fuzzy systems, i.e., reflective action module. The critical situation learning module
is composed of Q-learning with CMAC. Location information
of surrounding ghosts and the existence of power-pills are given to PacMan as state. This module punishes if PacMan is caught by ghosts. Therefore, this module learning which pairs of (state, action) cause her death. By using learnt Q-value, PacMan tries to survive much longer. Experimental results on Ms.PacMan elucidate the proposed method is promising since it can capture critical situations well. However, as a consequence of the large amount of memory required by CMAC, real time responses tend to be lost.
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発行日 | 2008-12
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出版物タイトル |
Proceedings : Fourth International Workshop on Computational Intelligence & Applications
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巻 | 2008巻
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号 | 1号
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出版者 | IEEE SMC Hiroshima Chapter
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開始ページ | 48
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終了ページ | 53
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資料タイプ |
会議発表論文
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言語 |
英語
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イベント | Fourth International Workshop on Computational Intelligence & Applications IEEE SMC Hiroshima Chapter : IWCIA 2008
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イベント地 | 東広島市
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イベント地の別言語 | Higashi-Hiroshima City
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論文のバージョン | publisher
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査読 |
有り
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Eprints Journal Name | IWCIA
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