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Policy Choice and Best Arm Identification: Asymptotic Analysis of Exploration Sampling
KTH, School of Electrical Engineering and Computer Science (EECS). AI Lab, CyberAgent, Inc..ORCID iD: 0000-0001-6286-9906
AI Lab, CyberAgent, Inc..
Stern School of Business, New York University.
Fox School of Business, Temple University.
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(English)Manuscript (preprint) (Other academic)
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Computer and Information Sciences
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URN: urn:nbn:se:kth:diva-333932OAI: oai:DiVA.org:kth-333932DiVA, id: diva2:1787751
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QC 20230815

Available from: 2023-08-14 Created: 2023-08-14 Last updated: 2023-12-06Bibliographically approved

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fulltext(291 kB)106 downloads
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File name FULLTEXT01.pdfFile size 291 kBChecksum SHA-512
e870bc182ed7e73e47e749775e003f09bb5d2324f91eec74f0756800e61ff1f84bcb295b32093acdab2db7546e1c1809f966af42f048973afdacf876983df4de
Type fulltextMimetype application/pdf

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Ariu, Kaito

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