Improving Generalization in Collision Avoidance for Multiple Unmanned Aerial Vehicles via Causal Representation Learning

Deep-reinforcement-learning-based multi-UAV collision avoidance and navigation methods have made significant progress. However, the fundamental challenge of those methods is their restricted capability to generalize beyond the specific scenario in which they are trained on. We find that the cause of...

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Bibliografiska uppgifter

Huvudupphov:	Che Lin, Gaofei Han, Qingling Wu, Boxi Wang, Jiafan Zhuang, Wenji Li, Zhifeng Hao, Zhun Fan
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	MDPI AG 2025-05-01
Serie:	Sensors
Ämnen:	deep reinforcement learning multi-UAV collision avoidance generalization failure causal representation learning causal intervention
Länkar:	https://www.mdpi.com/1424-8220/25/11/3303
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