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News/Exploiting Exogenous Structure for Sample-Efficient Reinforcement Learning
arxiv
PublishedOctober 3, 2026 at 4:00 AM
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Exploiting Exogenous Structure for Sample-Efficient Reinforcement Learning

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arXiv:2409.14557v5 Announce Type: replace-cross Abstract: We study a structured class of Markov Decision Processes, known as Exo-MDPs, in which the state space is partitioned into exogenous and endogenous components. Exogenous states evolve stochastically, independent of the agent's actions, while e

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