Multi-UAV Path Planning and Following Based on Multi-Agent Reinforcement Learning

Multi-UAV Path Planning and Following Based on Multi-Agent Reinforcement Learning

Dedicated to meeting the growing demand for multi-agent collaboration in complex scenarios, this paper introduces a parameter-sharing off-policy multi-agent path planning and the following approach. Current multi-agent path planning predominantly relies on grid-based maps, whereas our proposed appro...

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Bibliographic Details
Main Authors: Xiaoru Zhao, Rennong Yang, Liangsheng Zhong, Zhiwei Hou
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Drones
Subjects:
path planning
path follow
deep reinforcement learning
multi-UAV
parameter share
Online Access:https://www.mdpi.com/2504-446X/8/1/18

Internet

https://www.mdpi.com/2504-446X/8/1/18

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