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Multi-UAV Cooperative Pursuit Strategy With Limited Visual Field in Urban Airspace:A Multi-Agent Reinforcement Learning Approach

Zhe Peng Guohua Wu Biao Luo Ling Wang

自动化学报（英文版）2025，Vol.12Issue(7)：1350-1367,18.

自动化学报（英文版）2025，Vol.12Issue(7)：1350-1367,18.DOI:10.1109/JAS.2024.124965

Multi-UAV Cooperative Pursuit Strategy With Limited Visual Field in Urban Airspace:A Multi-Agent Reinforcement Learning Approach

Zhe Peng ¹Guohua Wu ²Biao Luo ²Ling Wang³

作者信息

1. School of Traffic and Transportation Engineering,Central South University,Changsha 410017,China
2. School of Automation,Central South University,Changsha 410017,China
3. Department of Automation,Tsinghua University,Beijing 100084,China
折叠

摘要

关键词

Graph attention network/limited visual field/multi-agent reinforcement learning(MARL)/normalizing flow/pursuit-evasion

Key words

Graph attention network/limited visual field/multi-agent reinforcement learning(MARL)/normalizing flow/pursuit-evasion

引用本文复制引用

Zhe Peng,Guohua Wu,Biao Luo,Ling Wang..Multi-UAV Cooperative Pursuit Strategy With Limited Visual Field in Urban Airspace:A Multi-Agent Reinforcement Learning Approach[J].自动化学报（英文版）,2025,12(7):1350-1367,18.

基金项目

This work was supported in part by the National Natural Science Foundation of China(62373380). （62373380）

自动化学报（英文版）

ISSN：2329-9266

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