Self-Learning Longitudinal Control for On-Road Vehicles

Self-Learning Longitudinal Control for On-Road Vehicles

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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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Bibliographic Details
Main Author: Puccetti, Luca (auth)
Format: Electronic Book Chapter
Language:English
Published: KIT Scientific Publishing 2023
Series:Karlsruher Beiträge zur Regelungs- und Steuerungstechnik 20
Subjects:
Electrical engineering
Regelungstechnik; Künstliche Intelligenz; Fahrzeugregelung; Längsdynamik; Bestärkendes Lernen; Control Theory; Artificial Intelligence; Vehicle Control; Longitudinal Dynamics; Reinforcement Learning
Online Access:OAPEN Library: download the publication
OAPEN Library: description of the publication
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