Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/3312
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dc.contributorTsitsiklis, John N.-
dc.contributorMassachusetts Institute of Technology. Laboratory for Information and Decision Systems.-
dc.date2003-04-29T15:38:34Z-
dc.date2003-04-29T15:38:34Z-
dc.date1993-
dc.date.accessioned2013-06-04T16:16:36Z-
dc.date.available2013-06-04T16:16:36Z-
dc.date.issued2013-06-05-
dc.identifierhttp://hdl.handle.net/1721.1/3312-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/1721-
dc.descriptionJohn N. Tsitsiklis.-
dc.descriptionIncludes bibliographical references (p. 18-20).-
dc.descriptionSupported by the National Science Foundation. ECS-9216531 Supported by a grant from Siemens A.G.-
dc.format20 p.-
dc.format1224167 bytes-
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherMassachusetts Institute of Technology, Laboratory for Information and Decision Systems]-
dc.relationLIDS-P ; 2172-
dc.subjectTK7855.M41 E3845 no.2172-
dc.titleAsynchronous stochastic approximation and Q-learning-
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