| ID | 19659 |
| Eprint ID | 19659
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| FullText URL | |
| Author |
Tsubota Hajime
|
| Abstract | This paper extends EDA-RL, Estimation of Distribution Algorithms for Reinforcement Learning Problems, to continuous domain. The extended EDA-RL is used to constitiute FPS game players. In order to cope with continuous input-output relations, Gaussian Network is employed as in EBNA. Simulation results on Unreal Tournament 2004, one of major FPS games, confirm the effectiveness of the proposed method.
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| Published Date | 2009-11-12
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| Publication Title |
Proceedings : Fifth International Workshop on Computational Intelligence & Applications
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| Volume | volume2009
|
| Issue | issue1
|
| Publisher | IEEE SMC Hiroshima Chapter
|
| Start Page | 143
|
| End Page | 146
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| ISSN | 1883-3977
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| NCID | BB00577064
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| Content Type |
Conference Paper
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| language |
English
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| Copyright Holders | IEEE SMC Hiroshima Chapter
|
| Event Title | 5th International Workshop on Computational Intelligence & Applications IEEE SMC Hiroshima Chapter ： IWCIA 2009
|
| Event Location | 東広島市
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| Event Location Alternative | Higashi-Hiroshima City
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| File Version | publisher
|
| Refereed |
True
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| Eprints Journal Name | IWCIA
|
