Policy Gradient Reinforcement Learning for Policy Represented by Fuzzy Rules: Application to Simulations of Speed Control of an Automobile. | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Harukazu_Igarashi>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Seiji_Ishihara>
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dc:identifier	DBLP journals/corr/abs-2009-02083 (xsd:string)
dcterms:issued	2020 (xsd:gYear)
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rdfs:label	Policy Gradient Reinforcement Learning for Policy Represented by Fuzzy Rules: Application to Simulations of Speed Control of an Automobile. (xsd:string)
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rdfs:seeAlso	<https://arxiv.org/abs/2009.02083>
dc:title	Policy Gradient Reinforcement Learning for Policy Represented by Fuzzy Rules: Application to Simulations of Speed Control of an Automobile. (xsd:string)
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