An investigation of belief-free DRL and MCTS for inspection and maintenance planning
We propose a novel Deep Reinforcement Learning (DRL) architecture for sequential decision processes under uncertainty, as encountered in inspection and maintenance (I &M) planning. Unlike other DRL algorithms ...