This paper proposes the PDQN;a novel method based on integrating Deep Reinforcement Learning and abstract planning for developing dynamic scheduling for policies in  systems with very delayed rewards;e.g. manufacturing.
PDQN - A Deep Reinforcement Learning Method for Planning with Long Delays: Optimization of Manufacturing Dispatching