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Paper Abstract and Keywords
Presentation 2009-02-28 09:40
Finding Route in a Multi-Agent Environment Based on Reinforcement Learning Algorithm
Kenji Masuda, Kunihiko Mitsubori (Takushoku Univ.) NLP2008-132
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, many researchers try to construct the models of the pedestrian flow by using the cellular automata. In the field of the artificial intelligence, such model can be interpreted as a kind of the multi-agent systems. This article discusses finding route based on the reinforcement learning algorithm in the multi-agent environment. In order to improve the ability to find the route in the environment, we prepare "the agent's own area" around the agent. While the learning agent avoids the overlapping of the areas between the plural agents, and it decides the action based on the reinforcement learning algorithm.
Keyword Reinforcement learning algorithm, Finding route, Multi-agent, Pedestrian flow.
Keyword (in Japanese) (See Japanese page) 
(in English) Reinforcement learning algorithm / Finding route / Multi-agent / Pedestrian flow / / / /  
Reference Info. IEICE Tech. Rep., vol. 108, no. 442, NLP2008-132, pp. 7-11, Feb. 2009.
Paper # NLP2008-132 
Date of Issue 2009-02-21 (NLP) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF NLP2008-132

Conference Information
Committee NLP  
Conference Date 2009-02-28 - 2009-02-28 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NLP 
Conference Code 2009-02-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Finding Route in a Multi-Agent Environment Based on Reinforcement Learning Algorithm 
Sub Title (in English)  
Keyword(1) Reinforcement learning algorithm  
Keyword(2) Finding route  
Keyword(3) Multi-agent  
Keyword(4) Pedestrian flow  
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1st Author's Name Kenji Masuda  
1st Author's Affiliation Takushoku University (Takushoku Univ.)
2nd Author's Name Kunihiko Mitsubori  
2nd Author's Affiliation Takushoku University (Takushoku Univ.)
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Speaker Author-1 
Date Time 2009-02-28 09:40:00 
Presentation Time 20 minutes 
Registration for NLP 
Paper # NLP2008-132 
Volume (vol) vol.108 
Number (no) no.442 
Page pp.7-11 
#Pages 5 
Date of Issue 2009-02-21 (NLP) 

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