Combining Multiple Strategies for Multiarmed Bandit Problems and Asymptotic Optimality

This brief paper provides a simple algorithm that selects a strategy at each time in a given set of multiple strategies for stochastic multiarmed bandit problems, thereby playing the arm by the chosen strategy at each time. The algorithm follows the idea of the probabilistic ϵt-switching in the ϵt-g...

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Bibliographic Details
Main Authors: Hyeong Soo Chang, Sanghee Choe
Format: Article
Language:English
Published: Wiley 2015-01-01
Series:Journal of Control Science and Engineering
Online Access:http://dx.doi.org/10.1155/2015/264953
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