Guidance Design for Escape Flight Vehicle Using Evolution Strategy Enhanced Deep Reinforcement Learning

arXiv:2405.03711v1 Announce Type: new
Abstract: Guidance commands of flight vehicles are a series of data sets with fixed time intervals, thus guidance design constitutes a sequential decision problem and satisfies the basic conditions for using deep reinforcement learning (DRL). In this paper, we consider the scenario where the escape flight vehicle (EFV) generates guidance commands based on DRL and the pursuit flight vehicle (PFV) generates guidance commands based on the proportional navigation method. For the EFV, the objective of the …

abstract arxiv basic cs.ai cs.lg cs.ne cs.sy data data sets decision design eess.sy evolution flight guidance paper reinforcement reinforcement learning series strategy type vehicles