Learning the distribution with largest mean: two bandit frameworks*

Over the past few years, the multi-armed bandit model has become increasingly popular in the machine learning community, partly because of applications including online content optimization. This paper reviews two different sequential learning tasks that have been considered in the bandit literature...

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Bibliographic Details
Main Authors: Kaufmann Emilie, Garivier Aurélien
Format: Article
Language:English
Published: EDP Sciences 2017-01-01
Series:ESAIM: Proceedings and Surveys
Online Access:https://doi.org/10.1051/proc/201760114