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Paper Abstract and Keywords
Presentation 2019-03-14 14:20
Improvement of Near-miss Courses by Reinforcement Learning to Search Ships' Courses
Takahiro Tomihara, Takeshi Kamio (Hiroshima City Univ.), Takahiro Tanaka (Japan Coast Guard Academy), Kunihiko Mitsubori (Takusyoku Univ.), Hisato Fujisaka (Hiroshima City Univ.) NLP2018-127
Abstract (in Japanese) (See Japanese page) 
(in English) Deciding efficient and safe courses of ships before actual navigation is very important. We have developed multi-agent reinforcement learning system (MARLS) to search ships’ courses as a useful tool to discuss the appropriateness of courses and the interaction between maneuvering actions. In this research, we propose a new MARLS to improve near-miss courses as an expansion of our conventional MARLS which can improve reference courses.
Keyword (in Japanese) (See Japanese page) 
(in English) Multi-ship course problem / Reinforcement learning / Multi-agent system / Reference courses / Near-miss courses / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 498, NLP2018-127, pp. 17-22, March 2019.
Paper # NLP2018-127 
Date of Issue 2019-03-07 (NLP) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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 NLP2018-127

Conference Information
Committee NLP MSS  
Conference Date 2019-03-14 - 2019-03-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Bunkyo Camp., Univ. of Fukui 
Topics (in Japanese) (See Japanese page) 
Topics (in English) SICE-DES, IEICE-MSS, IEICE-NLP, Work In Progress, and etc. 
Paper Information
Registration To NLP 
Conference Code 2019-03-NLP-MSS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Improvement of Near-miss Courses by Reinforcement Learning to Search Ships' Courses 
Sub Title (in English)  
Keyword(1) Multi-ship course problem  
Keyword(2) Reinforcement learning  
Keyword(3) Multi-agent system  
Keyword(4) Reference courses  
Keyword(5) Near-miss courses  
1st Author's Name Takahiro Tomihara  
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 Takahiro Tanaka  
3rd Author's Affiliation Japan Coast Guard Academy (Japan Coast Guard Academy)
4th Author's Name Kunihiko Mitsubori  
4th Author's Affiliation Takusyoku University (Takusyoku Univ.)
5th Author's Name Hisato Fujisaka  
5th Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
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Speaker Author-1 
Date Time 2019-03-14 14:20:00 
Presentation Time 25 minutes 
Registration for NLP 
Paper # NLP2018-127 
Volume (vol) vol.118 
Number (no) no.498 
Page pp.17-22 
Date of Issue 2019-03-07 (NLP) 

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