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dc.contributor.authorPerchet, Vianney
dc.contributor.authorRigollet, Philippe
dc.contributor.authorChassang, Sylvain
dc.contributor.authorSnowberg, Erik
dc.date.accessioned2015-09-24T12:51:14Z
dc.date.available2015-09-24T12:51:14Z
dc.date.issued2015-09-24
dc.identifier.issn0090-5364
dc.identifier.urihttp://hdl.handle.net/1721.1/98879
dc.description.abstractMotivated by practical applications, chiefly clinical trials, we study the regret achievable for stochastic bandits under the constraint that the employed policy must split trials into a small number of batches. Our results show that a very small number of batches gives close to minimax optimal regret bounds. As a byproduct, we derive optimal policies with low switching cost for stochastic bandits.en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Grant DMS-1317308)en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (CAREER-DMS-1053987)en_US
dc.description.sponsorshipMeimaris Familyen_US
dc.language.isoen_US
dc.publisherInstitute of Mathematical Statisticsen_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcearXiven_US
dc.titleBatched Bandit Problemsen_US
dc.typeArticleen_US
dc.identifier.citationPerchet, Vianney, Philippe Rigollet, Sylvain Chassang, and Erik Snowberg. "Batched Bandit Problems." Annals of Statistics (2015).en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mathematicsen_US
dc.contributor.approverRigollet, Philippeen_US
dc.contributor.mitauthorRigollet, Philippeen_US
dc.relation.journalforthcoming in Annals of Statisticsen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsPerchet, Vianney; Rigollet, Philippe; Chassang, Sylvain; Snowberg, Eriken_US
dc.identifier.orcidhttps://orcid.org/0000-0002-0135-7162
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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