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...
Gorde:
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| Formatua: | Baliabide elektronikoa Liburu kapitulua |
| Hizkuntza: | ingelesa |
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KIT Scientific Publishing
2023
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| Saila: | Karlsruher Beiträge zur Regelungs- und Steuerungstechnik
20 |
| Gaiak: | |
| Sarrera elektronikoa: | OAPEN Library: download the publication OAPEN Library: description of the publication |
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Internet
OAPEN Library: download the publicationOAPEN Library: description of the publication
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