Risk-Sensitive Reinforcement Learning Applied to Control under Constraints

P. Geibel, F. Wysotzki

In this paper, we consider Markov Decision Processes (MDPs) with error states. Error states are those states entering which is undesirable or dangerous. We define the risk with res…