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ID 33076
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Author
Ito, Kazuyuki
Imoto, Yoshiaki
Taguchi, Hideaki
Abstract

In this paper, we consider multi-agent system in which every agents have own tasks that differs each other. We propose a method that decreases learning time of reinforcement learning by using the model of environment. In the proposed algorithm, the model is created by sharing the experiences of agents each other. To demonstrate the effectiveness of the proposed method, simulations of a puddle world and experiments of a maze world have been carried out. As a result effective behaviors have been obtained quickly.

Note
Published with permission from the copyright holder. This is the institute's copy, as published in Robotics and Biomimetics, 2004. ROBIO 2004. IEEE International Conference on, 22-26 Aug. 2004, Pages 175-180.
Publisher URL:http://ieeexplore.ieee.org/search/wrapper.jsp?arnumber=1521772
Copyright © 2004 IEEE. All rights reserved.
Published Date
2004-8
Publication Title
Robotics and Biomimetics
Start Page
175
End Page
180
Content Type
Journal Article
language
英語
Refereed
True
Submission Path
mechanical_engineering/5