Reinforcement Learning of Risk-Constrained Policies in Markov Decision Processes

Tomas Brazdil, Krishnendu Chatterjee, Petr Novotny +1

Markov decision processes (MDPs) are the defacto frame-work for sequential decision making in the presence ofstochastic uncertainty. A classical optimization criterion forMDPs is t…