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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Bibliografische gegevens
Hoofdauteur: Puccetti, Luca (auth)
Formaat: Elektronisch Hoofdstuk
Taal:Engels
Gepubliceerd in: KIT Scientific Publishing 2023
Reeks:Karlsruher Beiträge zur Regelungs- und Steuerungstechnik 20
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