Chance-Constrained Control with Lexicographic Deep Reinforcement Learning

Alessandro Giuseppi, Antonio Pietrabissa

This paper proposes a lexicographic Deep Reinforcement Learning (DeepRL)-based approach to chance-constrained Markov Decision Processes, in which the controller seeks to ensure tha…