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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Materyal Türü: | Elektronik Kitap Bölümü |
Dil: | İngilizce |
Baskı/Yayın Bilgisi: |
KIT Scientific Publishing
2023
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Seri Bilgileri: | Karlsruher Beiträge zur Regelungs- und Steuerungstechnik
20 |
Konular: | |
Online Erişim: | 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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Yer Numarası: |
A1234.567 |
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Kopya Bilgisi 1 | Kütüphanede |