An investigation of belief-free DRL and MCTS for inspection and maintenance planning

Daniel Koutas, Elizabeth Bismut, Daniel Straub

We propose a novel Deep Reinforcement Learning (DRL) architecture for sequential decision processes under uncertainty, as encountered in inspection and maintenance (I&M) planning.…