Reinforcement Learning: An Industrial Perspective

Abstract

In this chapter, we discuss potential opportunities and challenges associated with applications of reinforcement learning (RL) in the aerospace domain. In particular, we focus on problems related to sensor resource management, autonomous navigation, advanced manufacturing, maintenance, repair and overhaul operations, and human-machine collaboration. We present two detailed RL case studies related to sensor tasking for aerial surveillance and robot control in an additive manufacturing application which utilizes different flavors of RL including the more recent deep RL framework. Finally, we highlight some ongoing research developments which could address key challenges in deploying RL in the aerospace domain.