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Paper Abstract and Keywords
Presentation 2013-03-14 09:30
Improvement of Limited Action Selection in Reinforcement Learning Based Search Method for Ships' Courses
Tomohiro Tanigawa, Takeshi Kamio (Hiroshima City Univ.), Kunihiko Mitsubori (Takushoku Univ.), Takahiro Tanaka (Japan Coast Guard Acad.), Hisato Fujisaka, Kazuhisa Haeiwa (Hiroshima City Univ.) NLP2012-144
Abstract (in Japanese) (See Japanese page) 
(in English) Ship transport is important. Multi ship course problem has been treared in the engineering related to ships. But the optimality of courses and the interaction between maneuvering actions have not been sufficiently discussed yet. So we have been designed multi-agent reinforcement learning system (MARLS). However, we have been confirmed by computer simulations that the resulting route is to avoid unnecessary. In this paper, we propose a limited action selection that correct to avoid unnecessary.
Keyword (in Japanese) (See Japanese page) 
(in English) multi-agent reinforcement learning system / multi-ship course problem / prior knowledge / navigation rules / / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 487, NLP2012-144, pp. 1-5, March 2013.
Paper # NLP2012-144 
Date of Issue 2013-03-07 (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)
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Conference Information
Committee NLP  
Conference Date 2013-03-14 - 2013-03-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Nishi-Chiba campus, Chiba Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To NLP 
Conference Code 2013-03-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improvement of Limited Action Selection in Reinforcement Learning Based Search Method for Ships' Courses 
Sub Title (in English)  
Keyword(1) multi-agent reinforcement learning system  
Keyword(2) multi-ship course problem  
Keyword(3) prior knowledge  
Keyword(4) navigation rules  
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1st Author's Name Tomohiro Tanigawa  
1st Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
2nd Author's Name Takeshi Kamio  
2nd Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
3rd Author's Name Kunihiko Mitsubori  
3rd Author's Affiliation Takushoku University (Takushoku Univ.)
4th Author's Name Takahiro Tanaka  
4th Author's Affiliation Japan Coast Guard Academy (Japan Coast Guard Acad.)
5th Author's Name Hisato Fujisaka  
5th Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
6th Author's Name Kazuhisa Haeiwa  
6th Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
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Speaker Author-1 
Date Time 2013-03-14 09:30:00 
Presentation Time 25 minutes 
Registration for NLP 
Paper # NLP2012-144 
Volume (vol) vol.112 
Number (no) no.487 
Page pp.1-5 
#Pages 5 
Date of Issue 2013-03-07 (NLP) 

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