POMDP inference and robust solution via deep reinforcement learning: An application to railway optimal maintenance

Giacomo Arcieri, Cyprien Hoelzl, Oliver Schwery +3

Partially Observable Markov Decision Processes (POMDPs) can model complex sequential decision-making problems under stochastic and uncertain environments. A main reason hindering t…