"How an Adaptive Learning Rate Benefits Neuro-Fuzzy Reinforcement Learning ..."

Takashi Kuremoto et al. (2014)

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DOI: 10.1007/978-3-319-11857-4_37

access: closed

type: Conference or Workshop Paper

metadata version: 2017-05-23

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  - conf/icsi/KuremotoOKM14
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Takashi Kuremoto, Masanao Obayashi, Kunikazu Kobayashi, Shingo Mabu:
How an Adaptive Learning Rate Benefits Neuro-Fuzzy Reinforcement Learning Systems. ICSI (1) 2014: 324-331

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