Mean deep deterministic policy gradient algorithm for pursuit strategies in three-body confrontation

•The ensemble-based algorithm mean deep deterministic policy gradient is proposed.•A Markov decision model for the three-body confrontation problem is established.•An action-transform method is developed for efficient learning.•Some additional learning techniques is equipped with to improve the perf...

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Vydané v:	Expert systems with applications Ročník 287; s. 128139
Hlavní autori:	Wang, Ziheng, Pu, Xiandong, Li, Yulin, Zhang, Jianlei, Zhang, Chunyan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 25.08.2025
Predmet:	Deterministic policy gradient Ensemble reinforcement learning Guidance Pursuit-evasion games Three-body confrontation Guidance Ensemble reinforcement learning Three-body confrontation Pursuit-evasion games Deterministic policy gradient
ISSN:	0957-4174
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