Presentation	2005-06-23 Finding the Course of a Ship and Reinforcement Learning Algorithm Kunihiko MITSUBORI, Takeshi KAMIO, Takahiro TANAKA,
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Abstract(in English)	We consider the reinforcement learning algorithm to find the appropriate courses of two ships which avoid the collision between them. The learner must find the appropriate answers of the problems:"where they will collide in","which ship should bypass the other", and "how strong the ships should make their own rudders work". We try to construct a framework to make the decisions in these problems step by step.
Keyword(in Japanese)	(See Japanese page)
Keyword(in English)	Maneuvering motion of ships / Reinforcement learning / Collision avoidance
Paper #	NLP2005-19
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Conference Information
Committee	NLP
Conference Date	2005/6/16(1days)
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Paper Information
Registration To	Nonlinear Problems (NLP)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Finding the Course of a Ship and Reinforcement Learning Algorithm
Sub Title (in English)
Keyword(1)	Maneuvering motion of ships
Keyword(2)	Reinforcement learning
Keyword(3)	Collision avoidance
1st Author's Name	Kunihiko MITSUBORI
1st Author's Affiliation	Japan Coast Guard Academy()
2nd Author's Name	Takeshi KAMIO
2nd Author's Affiliation	Hiroshima City University
3rd Author's Name	Takahiro TANAKA
3rd Author's Affiliation	Japan Coast Guard Academy
Date	2005-06-23
Paper #	NLP2005-19
Volume (vol)	vol.105
Number (no)	125
Page	pp.pp.-
#Pages	6
Date of Issue