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Finite-TimeAnalysisofRound-Robin Kullback-LeiblerUpperConfidenceBoundsfor OptimalAdaptiveAllocationwithMultiplePlaysand MarkovianRewards
Neural Information Processing Systems
Forouranalysis wedevise several concentration results forMarkovchains, including amaximal inequality for Markov chains, that may be of interest in their own right. As a byproduct of our analysis we also establish asymptotically optimal, finite-time guarantees for the case of multiple plays, and i.i.d.
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