Deep Reinforcement Learning in Multi-UAV Air Combat Maneuver Decision-Making: A Review of Key Techniques in Practice and Future Prospects

Deep Reinforcement Learning in Multi-UAV Air Combat Maneuver Decision-Making: A Review of Key Techniques in Practice and Future Prospects

The technology of deep reinforcement learning-based multi-UAV air combat maneuver decision-making is a hot research area in modern military studies. By combining the advantages of deep learning in handling high-dimensional complex data and the advantages of reinforcement learning in autonomous long-...

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Bibliographic Details
Main Author: Fang Siyu, Zhang Zhenhua, Niu Jinglong, Bian Jiang, Xu Changyi, Wu Yuhu
Format: Article
Language:zho
Published: Editorial Office of Aero Weaponry 2025-04-01
Series:Hangkong bingqi
Subjects:
|uav|air combat|maneuver decision-making|deep reinforcement learning|multi-agent collaboration
Online Access:https://www.aeroweaponry.avic.com/fileup/1673-5048/PDF/2024-0167.pdf
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