Aug 5, 2015 � The multiarmed bandit problem is a popular framework for studying the exploration versus exploitation trade-off.
Keywords : bandit problems; robust control; model uncertainty; relative entropy; games against nature. History : Received February 28, 2013; accepted November�...
The multiarmed bandit problem is a popular framework for studying the exploration versus exploitation trade-off. Recent applications include dynamic�...
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Downloadable! The multiarmed bandit problem is a popular framework for studying the exploration versus exploitation trade-off.
Jul 7, 2020 � Abstract:Recent works have shown that agents facing independent instances of a stochastic K-armed bandit can collaborate to decrease regret.
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Aug 21, 2015 � We study a robust model of the multi-armed bandit (MAB) problem in which the transition probabilities are ambiguous and belong to subsets of�...
Feb 6, 2024 � We study a robust, ie in presence of malicious participants, multi-agent multi-armed bandit problem where multiple participants are distributed on a fully�...
Jul 26, 2021 � Robust Multi-Agent Multi-Armed Bandits. Authors: Daniel Vial, Sanjay ... Finite-time analysis of the multiarmed bandit problem. Machine�...
Sep 9, 2015 � Abstract. We study a robust model of the multi-armed bandit (MAB) problem in which the transition probabilities are ambiguous and belong to�...
We consider Normal two-armed bandit problem with a priori known variances and unknown mathematical expectations of incomes in robust (minimax) setting.