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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Veröffentlicht in:	Neurocomputing (Amsterdam) Jg. 484; S. 46 - 58
Hauptverfasser:	Zhou, Zejian, Xu, Hao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.05.2022
Schlagworte:	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
Online-Zugang:	Volltext
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