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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
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