On-Line Fuzzy Q-Learning with Extended Rule and Interpolation Technique

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dc.contributor.authorKim, Min-Soeng-
dc.contributor.authorHong, Sun-Gi-
dc.contributor.authorLee, Ju-Jang-
dc.date.accessioned2013-03-16T02:52:42Z-
dc.date.available2013-03-16T02:52:42Z-
dc.date.created2012-02-06-
dc.date.issued1999-10-17-
dc.identifier.citation1999 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'99): Human and Environment Friendly Robots whith High Intelligence and Emotional Quotients', v.2, no., pp.757 - 762-
dc.identifier.urihttp://hdl.handle.net/10203/126685-
dc.languageENG-
dc.publisherIEEE/RSJ-
dc.titleOn-Line Fuzzy Q-Learning with Extended Rule and Interpolation Technique-
dc.typeConference-
dc.identifier.scopusid2-s2.0-0033347771-
dc.type.rimsCONF-
dc.citation.volume2-
dc.citation.beginningpage757-
dc.citation.endingpage762-
dc.citation.publicationname1999 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'99): Human and Environment Friendly Robots whith High Intelligence and Emotional Quotients'-
dc.identifier.conferencecountrySouth Korea-
dc.identifier.conferencecountrySouth Korea-
dc.contributor.localauthorLee, Ju-Jang-
dc.contributor.nonIdAuthorKim, Min-Soeng-
dc.contributor.nonIdAuthorHong, Sun-Gi-
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EE-Conference Papers(학술회의논문)
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