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DriveVLM-RL: Neuroscience-Inspired Reinforcement Learning with Vision-Language Models for Safe and Deployable Autonomous Driving

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Huang, Zilin, Sheng, Zihao, Wan, Zhengyang, Qu, Yansong, You, Junwei, Jiang, Sicong, Chen, Sikai
Formato:	Preprint
Publicado:	2026
Materias:	Robotics Artificial Intelligence Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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