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dc.contributor.authorMao, Weichao
dc.contributor.authorZhang, Kaiqing
dc.contributor.authorZhu, Ruihao
dc.contributor.authorSimchi-Levi, David
dc.contributor.authorBasar, Tamer
dc.date.accessioned2023-03-21T15:55:11Z
dc.date.available2023-03-21T15:55:11Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/148645
dc.language.isoen
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceProceedings of Machine Learning Researchen_US
dc.titleNear-Optimal Model-Free Reinforcement Learning in Non-Stationary Episodic MDPsen_US
dc.typeArticleen_US
dc.identifier.citationMao, Weichao, Zhang, Kaiqing, Zhu, Ruihao, Simchi-Levi, David and Basar, Tamer. 2021. "Near-Optimal Model-Free Reinforcement Learning in Non-Stationary Episodic MDPs." INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 139, 139.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineeringen_US
dc.relation.journalINTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 139en_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2023-03-21T15:03:49Z
dspace.orderedauthorsMao, W; Zhang, K; Zhu, R; Simchi-Levi, D; Basar, Ten_US
dspace.date.submission2023-03-21T15:03:51Z
mit.journal.volume139en_US
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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