Decentralized optimal large scale multi-player pursuit-evasion strategies: A mean field game approach with reinforcement learning

In this paper, the intelligent design for the pursuit-evasion game with large scale multi-pursuer and multi-evader has been investigated. Due to the vast number of agents, the notorious ”Curse of Dimensionality” can seriously challenge the traditional design in multi-player pursuit-evasion game, esp...

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Vydané v:	Neurocomputing (Amsterdam) Ročník 484; s. 46 - 58
Hlavní autori:	Zhou, Zejian, Xu, Hao
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.05.2022
Predmet:	Approximate dynamic programming Mean field game theory Optimal control Pursuit-evasion game Reinforcement learning Mean field game theory Pursuit-evasion game Approximate dynamic programming Optimal control Reinforcement learning
ISSN:	0925-2312, 1872-8286
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