Self-Learning Longitudinal Control for On-Road Vehicles

Reinforcement Learning is a promising tool to automate controller tuning. However, significant extensions are required for real-world applications to enable fast and robust learning. This work proposes several additions to the state of the art and proves their capability in a series of real world ex...

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Detalles Bibliográficos

Autor principal:	Puccetti, Luca
Formato:	Online
Lenguaje:	inglés
Publicado:	KIT Scientific Publishing 2023
Materias:	Regelungstechnik; Künstliche Intelligenz; Fahrzeugregelung; Längsdynamik; Bestärkendes Lernen; Control Theory; Artificial Intelligence; Vehicle Control; Longitudinal Dynamics; Reinforcement Learning thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering
Acceso en línea:	https://library.oapen.org/handle/20.500.12657/63614
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