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

Guidance commands of flight vehicles can be regarded as a series of data sets having fixed time intervals, thus guidance design constitutes a typical sequential decision problem and satisfies the basic conditions for using the deep reinforcement learning (DRL) technique. In this paper, we consider t...

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Vydané v:	IEEE access Ročník 12; s. 48210 - 48222
Hlavní autori:	Hu, Xiao, Wang, Tianshu, Gong, Min, Yang, Shaoshi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Commands Deep learning Deep reinforcement learning Differential games Earth Evolution evolution strategy (ES) Evolutionary computation Flight Flight vehicles guidance design Machine learning max-min problem Minimax techniques Navigation Neural networks Optimization Proportional navigation proximal policy optimization (PPO) Real-time systems Vectors Velocity
ISSN:	2169-3536, 2169-3536
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