Twice Regularized Markov Decision Processes: The Equivalence between Robustness and Regularization

Esther Derman, Yevgeniy Men, Matthieu Geist +1

Robust Markov decision processes (MDPs) aim to handle changing or partially known system dynamics. To solve them, one typically resorts to robust optimization methods. However, thi…