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most citedPolicy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning

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cs.LG2025

Provably Efficient RL under Episode-Wise Safety in Constrained MDPs with Linear Function Approximation

Toshinori Kitamura, Arnob Ghosh, Tadashi Kozuno +5

We study the reinforcement learning (RL) problem in a constrained Markov decision process (CMDP), where an agent explores the environment to maximize the expected cumulative reward…