Multi-UAV Redeployment Optimization Based on Multi-Agent Deep Reinforcement Learning Oriented to Swarm Performance Restoration

Multi-UAV Redeployment Optimization Based on Multi-Agent Deep Reinforcement Learning Oriented to Swarm Performance Restoration

Distributed artificial intelligence is increasingly being applied to multiple unmanned aerial vehicles (multi-UAVs). This poses challenges to the distributed reconfiguration (DR) required for the optimal redeployment of multi-UAVs in the event of vehicle destruction. This paper presents a multi-agen...

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Bibliographic Details
Main Authors:	Qilong Wu, Zitao Geng, Yi Ren, Qiang Feng, Jilong Zhong
Format:	Article
Language:	English
Published:	MDPI AG 2023-11-01
Series:	Sensors
Subjects:	distributed reconfiguration strategy multi-agent deep reinforcement learning unmanned aerial vehicle (UAV) UAV swarm redeployment
Online Access:	https://www.mdpi.com/1424-8220/23/23/9484

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