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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Vydané v:	Proceedings of ... IEEE International Conference on Unmanned Systems (Online) s. 418 - 423
Hlavní autori:	Ye, Jianfeng, Wang, Qing, Ma, Bei, Wu, Yongbao, Xue, Lei
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 28.10.2022
Predmet:	Adaptation models adaptive strategy Convergence Games MADDPG multi-agent Nash equilibrium Neural networks Training
ISSN:	2771-7372
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