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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| Autore principale: | |
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| Natura: | Elettronico Capitolo di libro |
| Lingua: | inglese |
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KIT Scientific Publishing
2023
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| Serie: | Karlsruher Beiträge zur Regelungs- und Steuerungstechnik
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| Soggetti: | |
| Accesso online: | DOAB: download the publication DOAB: description of the publication |
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Accesso online
DOAB: download the publicationDOAB: description of the publication
3rd Floor Main Library
| Collocazione: |
A1234.567 |
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| Copia 1 | Disponibile |