Self-Learning Longitudinal Control for On-Road Vehicles
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https://library.oapen.org/bitstream/20.500.12657/63614/1/self-learning-longitudinal-control-for-on-road-vehicles.pdf
Language
EnglishAbstract
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 experiments.
Keywords
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 engineeringPublisher
KIT Scientific PublishingPublisher website
http://www.ksp.kit.edu/Publication date and place
2023Series
Karlsruher Beiträge zur Regelungs- und Steuerungstechnik,Pages
158
Except where otherwise noted, this item's license is described
as
open access