Transactions of the Society of Instrument and Control Engineers
Online ISSN : 1883-8189
Print ISSN : 0453-4654
ISSN-L : 0453-4654
Self-Organized Fuzzy Reinforcement Learning System
Kosuke UMESAKO, Masanao OBAYASHI, Kunikazu KOBAYASHI
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Keywords: reinforcement learning, fuzzy, self-organization, adaptive PDF, stochastic gradient ascent method
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2003 Volume 39 Issue 7 Pages 699-701

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Abstract
We propose a reinforcement learning system that is constructed autonomously according to the state of environment observed during trials and the efficient method of selecting action whose direction varies. Effectiveness is shown through mobile robot control.
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© The Society of Instrument and Control Engineers (SICE)
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