Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NLP |
2021-12-17 10:25 |
Oita |
J:COM Horuto Hall OITA |
Reinforcement learning to find ships' courses that ignores navigation rules based on safety Mikito Tanaka, Takeshi Kamio (Hiroshima City Univ.), Takahiro Tanaka (Japan Coast Guard Academy), Kunihiko Mitsubori (Takushoku Univ.), Hisato Fujisaka (Hiroshima City Univ.) NLP2021-44 |
[more] |
NLP2021-44 pp.7-12 |
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, CCS |
2015-06-12 09:25 |
Tokyo |
Waseda Univerisity |
Toward Implementation of the labyrinth exploration by the intelligent mobile robots Jun Ishihara, Kunihiko Mitsubori (Takushoku Univ.) NLP2015-55 CCS2015-17 |
A purpose of this study is to explore the labyrinth by the real mobile robots. Each robot has the sensors to collect the... [more] |
NLP2015-55 CCS2015-17 pp.97-102 |
NLP |
2013-07-08 13:50 |
Okinawa |
Miyako Island Marine Terminal |
An asynchronous multi-agent system selecting the destination based on the queue's length Yuta Kazama, Kunihiko Mitsubori (Takushoku Univ.) NLP2013-32 |
This paper considers a pedestrian stream model with the interaction between the pedestrians and the queues based on the ... [more] |
NLP2013-32 pp.31-36 |
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 |
NLP |
2012-07-05 14:20 |
Kagoshima |
Kagoshima Sangyou Hall |
Novel Participant Stream Model in Event Site Based on Multi-Agent System Ikuya Maezawa, Kunihiko Mitsubori (Takushoku Univ.) NLP2012-42 |
This paper proposes a model of the participant stream in event site, based on Multi-Agent System. The event site has the... [more] |
NLP2012-42 pp.23-28 |
NLP |
2012-07-05 14:45 |
Kagoshima |
Kagoshima Sangyou Hall |
Digital Circuit Design of A Pedestrian Flow Model Based on Multi-Agent System Takashi Toyofuku, Kunihiko Mitsubori (Takushoku Univ.) NLP2012-43 |
Recently, many researchers try to construct the models of the pedestrian flow by using the cellular automata. Such a mod... [more] |
NLP2012-43 pp.29-34 |
NLP |
2012-01-24 10:10 |
Fukushima |
Aizu-keiko-do Hall |
Analysis of chaotic spiking oscillators that fire depending on state and time Kazuki Yotsuji, Satoshi Imai (HU), Kunihiko Mitsubori (Takushoku Univ.), Toshimichi Saito (HU) NLP2011-136 |
This paper studies chaotic spiking oscillators controlled by impulsive switching depending on both time and state.
If ... [more] |
NLP2011-136 pp.69-73 |
NLP |
2011-11-09 13:15 |
Okinawa |
Miyako Island Marine Terminal |
Basic dynamics of chaotic spiking oscillators with two thresholds Shinya Tanaka, Toshimichi Saito (HU), Kunihiko Mitsubori (TU) NLP2011-98 |
This paper presents piecewise constant chaotic spiking oscillators with two firing thresholds.
In the case of single f... [more] |
NLP2011-98 pp.37-42 |
NLP |
2010-03-09 10:20 |
Tokyo |
|
Finding Course of Ships by Multi-Agent Reinforcement Learning with A Priori Knowledge Takeshi Kamio (Hiroshima City Univ.), Kunihiko Mitsubori (Takusyoku Univ.), Takahiro Tanaka (Japan Coast Gurad Academy), Chang-Jun Ahn, Hisato Fujisaka, Kazuhisa Haeiwa (Hiroshima City Univ.) NLP2009-161 |
[more] |
NLP2009-161 pp.21-26 |
NLP |
2009-03-11 14:50 |
Kyoto |
|
Reinforcement Learning to Find the Course of Multi-Ships Shohei Sugeo, Takeshi Kamio (Hiroshima City Univ.), Kunihiko Mitsubori (Takushoku Univ.), Takahiro Tanaka (Japan Coast Guard Academy), Chang-Jun Ahn, Hisato Fujisaka, Kazuhisa Haeiwa (Hiroshima City Univ.) NLP2008-167 |
[more] |
NLP2008-167 pp.93-98 |
NLP |
2009-02-28 09:20 |
Kanagawa |
|
Finding Route of A Four-wheels Car Based on Reinforcement Learning Algorithm You Igarashi, Kunihiko Mitsubori (Takushoku Univ.) NLP2008-131 |
This article discusses finding the route of a four-wheel car based on the reinforcement learning algorithm. We consider ... [more] |
NLP2008-131 pp.1-6 |
NLP |
2009-02-28 09:40 |
Kanagawa |
|
Finding Route in a Multi-Agent Environment Based on Reinforcement Learning Algorithm Kenji Masuda, Kunihiko Mitsubori (Takushoku Univ.) NLP2008-132 |
Recently, many researchers try to construct the models of the pedestrian flow by using the cellular automata. In the fie... [more] |
NLP2008-132 pp.7-11 |
NLP |
2008-03-28 11:40 |
Hyogo |
|
A Note on Expansion and Contraction of Categories in Fuzzy ARTMAP Takeshi Kamio (Hiroshima City Univ.), Kunihiko Mitsubori (Takushoku Univ.), Chang-Jun Ahn, Hisato Fujisaka, Kazuhisa Haeiwa (Hiroshima City Univ.) NLP2007-171 |
Fuzzy ARTMAP (FAM) is a supervised learning system. FAM segments the input space with categories which are defined by hy... [more] |
NLP2007-171 pp.25-30 |
NLP |
2005-06-23 13:15 |
Hiroshima |
Hiroshima City Univ. |
Finding the Course of a Ship and Reinforcement Learning Algorithm Kunihiko Mitsubori (Japan Coast Guard Acad.), Takeshi Kamio (Hiroshima City Univ.), Takahiro Tanaka (Japan Coast Guard Acad.) |
We consider the reinforcement learning algorithm to find the appropriate courses of two ships which avoid the collision ... [more] |
NLP2005-19 pp.19-24 |
NLP |
2005-06-23 13:55 |
Hiroshima |
Hiroshima City Univ. |
n/a n/a, Takeshi Kamio, Kunihiko Mitsubori, Hisato Fujisaka (n/a) |
The trade-off between exploration and exploitation has often been discussed in studies on reinforcement learning (RL). T... [more] |
NLP2005-20 pp.25-30 |
NLP |
2005-03-26 11:25 |
Tokyo |
Tokyo Univ |
n/a Takeshi Kamio, Kenji Mori, Hisato Fujisaka (Hiroshima City Univ.), Kunihiko Mitsubori (Japan Coast Guard Academy) |
It is important and difficult to find the appropriate course of a ship in a restricted sea-area with the strong tidal cu... [more] |
NLP2004-129 pp.25-30 |