12 citations · 17 across the 5 of their papers we have counts for
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math.ST2020★ 3 cited
Finite-Time Analysis of Round-Robin Kullback-Leibler Upper Confidence Bounds for Optimal Adaptive Allocation with Multiple Plays and Markovian Rewards
Vrettos Moulos
We study an extension of the classic stochastic multi-armed bandit problem which involves multiple plays and Markovian rewards in the rested bandits setting. In order to tackle thi…
math.ST2020
A Hoeffding Inequality for Finite State Markov Chains and its Applications to Markovian Bandits
Vrettos Moulos
This paper develops a Hoeffding inequality for the partial sums , where is an irreducible Markov chain on a finite state sp…