2 papers
cs.LG2026
Reinforcement Learning under State and Outcome Uncertainty: A Foundational Distributional Perspective
Larry Preuett, Qiuyi Zhang, Muhammad Aurangzeb Ahmad
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 uncer…
cs.AI2025
Provable Distributional Value Iteration under Partial Observability
Larry Preuett, Qiuyi Zhang, Muhammad Aurangzeb Ahmad
In many real-world planning tasks, agents must tackle uncertainty about the environment's state and variability in the outcomes induced by stochastic dynamics and rewards. Motivate…