Application of Deep Reinforcement Learning in UAVs: A Review

Abstract

Deep reinforcement learning is one of the most important branches in the field of artificial intelligence. It has strong high-latitude data processing capabilities and is mainly used to solve control and decision-making problems. Many problems in the field of unmanned aerial vehicle(UAV) involve control and decision-making, so deep reinforcement learning has a wide range of applications in the field of UAVs. First, this article introduces the principles of classic reinforcement learning and extends to the principles of deep reinforcement learning. Secondly, this article describes the control and decision-making problems in the field of UAVs, and further introduces the application of deep reinforcement learning to these problems. Finally, this article looks forward to the future development direction of deep reinforcement learning in this field, and provides references for future related research.