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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 |
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| 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 | |
| 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 | NLP2018-127 |
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| 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 |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 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 |
| #Pages | 6 |
| Date of Issue | 2019-03-07 (NLP) |
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