Multi-UAV Escape Target Search: A Multi-Agent Reinforcement Learning Method

Multi-UAV Escape Target Search: A Multi-Agent Reinforcement Learning Method

The multi-UAV target search problem is crucial in the field of autonomous Unmanned Aerial Vehicle (UAV) decision-making. The algorithm design of Multi-Agent Reinforcement Learning (MARL) methods has become integral to research on multi-UAV target search owing to its adaptability to the rapid online...

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Bibliographic Details
Main Authors:	Guang Liao, Jian Wang, Dujia Yang, Junan Yang
Format:	Article
Language:	English
Published:	MDPI AG 2024-10-01
Series:	Sensors
Subjects:	multi-UAV area coverage path planning escape target search multi-agent reinforcement learning
Online Access:	https://www.mdpi.com/1424-8220/24/21/6859
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