2022
Reinforcement Learning in a Birth and Death Process: Breaking the Dependence on the State Space
NeurIPS 2022accept
In this paper, we revisit the regret of undiscounted reinforcement learning in MDPs with a birth and death structure. Specifically, we consider a controlled queue with impatient jobs and the main objective is to optimize a trade-off between energy consumption and user-perceived performance. Wit…