The Proceedings of the Symposium on sports and human dynamics
Online ISSN : 2432-9509
2013
Session ID : 124
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124 Reinforcement Learning Simulation of Sailing Strategy
Kanta TACHIBANA
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Abstract

The only energy source of sailboat is wind. Decision making is need in partially observable and unsteady environment. Sailing is a reinforcement learning problem. State and action spaces consist of continuous variables such as appearance wind, target position and sail direction. Some of them are vectors. This paper shows reinforcement learning simulation with particle filter which aims to learn human sailor's knowledge acquisition of predicting and utilizing wind.

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© 2013 The Japan Society of Mechanical Engineers
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