Reinforcement Learning under State and Outcome Uncertainty: A Foundational Distributional Perspective.

arXiv:2609.24103v1 Announce Type: cross Abstract: In many real-world planning tasks, agents must tackle uncertainty about the environment's state and variability in the outcomes of any chosen policy. We address both forms of uncertainty as a first step toward