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…