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Committee Date Time Place Paper Title / Authors Abstract Paper #
MSS, NLP
(Joint)		 2020-03-10
16:45		 Aichi  
(Cancelled but technical report was issued)		 Reinforcement Learning Based Multi-Ship Course Search Method with Tracking Control
Hiroki Kimura, Takahiro Tomihara, Takeshi Kamio (Hiroshima City Univ.), Takahiro Tanaka (Japan Coast Guard Academy), Kunihiko Mitsubori (Takushoku Univ.), Hisato Fujisaka (Hiroshima City Univ.) NLP2019-131		 We have developed multi-agent reinforcement learning system (MARLS) to search ships’ courses. Since the rudder angle is ... [more] NLP2019-131
pp.103-108
NLP, MSS
(Joint)		 2019-03-14
14:20		 Fukui Bunkyo Camp., Univ. of Fukui 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		 Deciding efficient and safe courses of ships before actual navigation is very important. We have developed multi-agent r... [more] NLP2018-127
pp.17-22
NLP, CAS 2017-10-06
13:25		 Niigata Machinaka Campus Nagaoka Influence of Updating Reference Courses on Reinforcement Learning to Search Ships' Courses
Takeshi Kamio (Hiroshima City Univ.), Takahiro Tanaka (Japan Coast Guard Academy), Kunihiko Mitsubori (Takushoku Univ.), Hisato Fujisaka (Hiroshima City Univ.) CAS2017-38 NLP2017-63		 Deciding efficient and safe courses of ships before actual navigation is very important. We have developed multi-agent r... [more] CAS2017-38 NLP2017-63
pp.75-80
NLP 2017-03-14
10:50		 Aomori Nebuta Museum Warasse Influence of Reference Courses on Reinforcement Learning to Search Ships' Courses
Takeshi Kamio, Shunsuke Yasui (Hiroshima City Univ.), Takahiro Tanaka (Japan Coast Guard Academy), Kunihiko Mitsubori (Takushoku Univ.), Hisato Fujisaka (Hiroshima City Univ.) NLP2016-108		 Deciding efficient and safe courses of ships before actual navigation is very important. We have developed multi-agent r... [more] NLP2016-108
pp.13-18
NLP 2013-03-14
09:30		 Chiba Nishi-Chiba campus, Chiba Univ. 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		 Ship transport is important. Multi ship course problem has been treared in the engineering related to ships. But the opt... [more] NLP2012-144
pp.1-5
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