114 citations · 381 across the 40 of their papers we have counts for
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Optimal Adaptive Learning in Uncontrolled Restless Bandit Problems
Cem Tekin, Mingyan Liu
In this paper we consider the problem of learning the optimal policy for uncontrolled restless bandit problems. In an uncontrolled restless bandit problem, there is a finite set of…
Online Learning of Rested and Restless Bandits
Cem Tekin, Mingyan Liu
In this paper we study the online learning problem involving rested and restless multiarmed bandits with multiple plays. The system consists of a single player/user and a set of K…
Online Learning in Opportunistic Spectrum Access: A Restless Bandit Approach
Cem Tekin, Mingyan Liu
We consider an opportunistic spectrum access (OSA) problem where the time-varying condition of each channel (e.g., as a result of random fading or certain primary users' activities…
Online Algorithms for the Multi-Armed Bandit Problem with Markovian Rewards
Cem Tekin, Mingyan Liu
We consider the classical multi-armed bandit problem with Markovian rewards. When played an arm changes its state in a Markovian fashion while it remains frozen when not played. Th…