Autonomous air combat decision making via graph neural networks and reinforcement learning

Autonomous air combat decision making via graph neural networks and reinforcement learning

Abstract With the rapid advancement of technology, aerial interaction patterns have become increasingly complex, making intelligent air combat a prominent and cutting-edge research area in multi-agent systems. In this context, the dynamic and uncertain nature of large-scale air combat scenarios pose...

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Bibliographic Details
Main Authors: Lin Huo, Chudi Wang, Yue Han
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Air Combat Decision-Making
Multi-Agent Systems
Reinforcement Learning
Graph Neural Networks
Online Access:https://doi.org/10.1038/s41598-025-00463-y
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https://doi.org/10.1038/s41598-025-00463-y

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