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08/04/2023
Learning Optimal Admission Control in Partially Observable Queueing Networks
We present an efficient reinforcement learning algorithm that learns the...
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02/21/2023
Reinforcement Learning in a Birth and Death Process: Breaking the Dependence on the State Space
In this paper, we revisit the regret of undiscounted reinforcement learn...
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01/13/2023
Decentralized model-free reinforcement learning in stochastic games with average-reward objective
We propose the first model-free algorithm that achieves low regret perfo...
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03/10/2022
Computing Whittle (and Gittins) Index in Subcubic Time
Whittle index is a generalization of Gittins index that provides very ef...
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06/16/2021
Reinforcement Learning for Markovian Bandits: Is Posterior Sampling more Scalable than Optimism?
We study learning algorithms for the classical Markovian bandit problem ...
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12/16/2020
Exponential Convergence Rate for the Asymptotic Optimality of Whittle Index Policy
We evaluate the performance of Whittle index policy for restless Markovi...
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04/14/2010