A Bio-Inspired Decision-Making Method of UAV Swarm for Attack-Defense Confrontation via Multi-Agent Reinforcement Learning

The unmanned aerial vehicle (UAV) swarm is regarded as having a significant role in modern warfare. The demand for UAV swarms with the capability of attack-defense confrontation is urgent. The existing decision-making methods of UAV swarm confrontation, such as multi-agent reinforcement learning (MA...

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Bibliographic Details
Main Authors: Pei Chi, Jiahong Wei, Kun Wu, Bin Di, Yingxun Wang
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Biomimetics
Subjects:
Online Access:https://www.mdpi.com/2313-7673/8/2/222