A Pursuit Strategy for Multi-Agent Pursuit-Evasion Game via Multi-Agent Deep Deterministic Policy Gradient Algorithm

This paper studies a classical pursuit-evasion problem. The pursuer attempts to capture the faster evader in a bounded area. The velocity of evader is 1.2 times as fast as the pursuers'. All of them have adaptive strategies. We use game theory to model the multi-agent pursuit-evasion game and p...

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Veröffentlicht in:	Proceedings of ... IEEE International Conference on Unmanned Systems (Online) S. 418 - 423
Hauptverfasser:	Ye, Jianfeng, Wang, Qing, Ma, Bei, Wu, Yongbao, Xue, Lei
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 28.10.2022
Schlagworte:	Adaptation models adaptive strategy Convergence Games MADDPG multi-agent Nash equilibrium Neural networks Training
ISSN:	2771-7372
Online-Zugang:	Volltext
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