Semismooth Newton Methods for Risk-Averse Markov Decision Processes

Matilde Gargiani, Francesco Micheli, Anastasios Tsiamis +1

Inspired by semismooth Newton methods, we propose a general framework for designing solution methods with convergence guarantees for risk-averse Markov decision processes. Our appr…