Robust and Safe Reinforcement Learning with Optimal Transport Perturbations

Robust and safe reinforcement learning framework that incorporates general environment disturbances using optimal transport cost uncertainty set, with an efficient implementation based on applying Optimal Transport Perturbations to construct worst-case virtual state transitions.