A Long-Term Target Search Method for Unmanned Aerial Vehicles Based on Reinforcement Learning

A Long-Term Target Search Method for Unmanned Aerial Vehicles Based on Reinforcement Learning

Unmanned aerial vehicles (UAVs) are increasingly being employed in search operations. Deep reinforcement learning (DRL), owing to its robust self-learning and adaptive capabilities, has been extensively applied to drone search tasks. However, traditional DRL approaches often suffer from long trainin...

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Bibliographic Details
Main Authors: Dexing Wei, Lun Zhang, Mei Yang, Hanqiang Deng, Jian Huang
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Drones
Subjects:
UAVs
reinforcement learning
long-term search task
multi-agent
Online Access:https://www.mdpi.com/2504-446X/8/10/536
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