The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model Laixi Shi Caltech Gen Li

In this paper, we are particularly interested in understanding whether, and how, the choice of distributional robustness bears statistical implications in learning the desired policy, by studying the sample complexity in the widely-used generative model (Kearns and Singh, 1999).