On the Foundation of Distributionally Robust Reinforcement Learning

Shengbo Wang, Nian Si, Jose Blanchet +1

Motivated by the need for a robust policy in the face of environment shifts between training and deployment, we contribute to the theoretical foundation of distributionally robust…