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A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Schester, Larry, Ortiz, Luis E.
Formato:	Preprint
Publicado:	2024
Materias:	Robotics Artificial Intelligence Machine Learning Multiagent Systems Systems and Control I.2.9; I.2.11; I.2.6; I.2.8
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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