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An actor-critic algorithm using kernel-based least-squares estimation: An application to robot locomotion

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dc.contributor.authorPark, Jooyoung-
dc.date.accessioned2021-08-29T23:25:19Z-
dc.date.available2021-08-29T23:25:19Z-
dc.date.created2021-04-22-
dc.date.issued2009-11-29-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/47601-
dc.publisherCACS-
dc.subjectActor-critic methods-
dc.subjectKernel methods-
dc.subjectSliding windows-
dc.subjectReinforcement learning-
dc.subjectLocomotion-
dc.titleAn actor-critic algorithm using kernel-based least-squares estimation: An application to robot locomotion-
dc.typeConference-
dc.contributor.affiliatedAuthorPark, Jooyoung-
dc.identifier.bibliographicCitation2009 CACS International Automatic Control Conference-
dc.relation.isPartOf2009 CACS International Automatic Control Conference-
dc.relation.isPartOfProceedings of 2009 CACS International Automatic Control Conference-
dc.citation.title2009 CACS International Automatic Control Conference-
dc.citation.conferencePlaceCH-
dc.citation.conferencePlaceNational Taipei University of Technology, Taipei, Taiwan-
dc.citation.conferenceDate2009-11-27-
dc.type.rimsCONF-
dc.description.journalClass1-
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