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...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Che Lin, Gaofei Han, Qingling Wu, Boxi Wang, Jiafan Zhuang, Wenji Li, Zhifeng Hao, Zhun Fan
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-05-01
coleção:	Sensors
Assuntos:	deep reinforcement learning multi-UAV collision avoidance generalization failure causal representation learning causal intervention
Acesso em linha:	https://www.mdpi.com/1424-8220/25/11/3303
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!