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dc.contributor.authorShah, Devavrat
dc.contributor.authorXie, Qiaomin
dc.contributor.authorXu, Zhi
dc.date.accessioned2022-11-07T13:56:56Z
dc.date.available2022-11-07T13:56:56Z
dc.date.issued2020-06-08
dc.identifier.isbn978-1-4503-7985-4
dc.identifier.urihttps://hdl.handle.net/1721.1/146178
dc.publisherACM|ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systemsen_US
dc.relation.isversionofhttps://doi.org/10.1145/3393691.3394202en_US
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.sourceACM|ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systemsen_US
dc.titleNon-Asymptotic Analysis of Monte Carlo Tree Searchen_US
dc.typeArticleen_US
dc.identifier.citationShah, Devavrat, Xie, Qiaomin and Xu, Zhi. 2020. "Non-Asymptotic Analysis of Monte Carlo Tree Search."
dc.contributor.departmentMassachusetts Institute of Technology. Laboratory for Information and Decision Systems
dc.identifier.mitlicensePUBLISHER_POLICY
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.updated2022-11-02T18:26:11Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2022-11-02T18:26:12Z
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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