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...

Descripció completa

Dades bibliogràfiques

Autors principals:	Che Lin, Gaofei Han, Qingling Wu, Boxi Wang, Jiafan Zhuang, Wenji Li, Zhifeng Hao, Zhun Fan
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2025-05-01
Col·lecció:	Sensors
Matèries:	deep reinforcement learning multi-UAV collision avoidance generalization failure causal representation learning causal intervention
Accés en línia:	https://www.mdpi.com/1424-8220/25/11/3303
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!