# Provably adaptive reinforcement learning in metric spaces

18 Jun 2020Tongyi CaoAkshay Krishnamurthy

We study reinforcement learning in continuous state and action spaces endowed with a metric. We provide a refined analysis of the algorithm of Sinclair, Banerjee, and Yu (2019) and show that its regret scales with the \emph{zooming dimension} of the instance... (read more)

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