Robustness to Model Approximation, Model Learning From Data, and Sample Complexity in Wasserstein Regular MDPs
arXiv:2410.14116v5 Announce Type: replace Abstract: The paper studies the robustness properties of discrete-time stochastic optimal control under Wasserstein model approximation for both discounted-cost and average-cost...