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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| Format: | eBook |
| Language: | English |
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KIT Scientific Publishing
2023
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| Series: | Karlsruher Beiträge zur Regelungs- und Steuerungstechnik
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| Collection: | Directory of Open Access Books - Collection details see MPG.ReNa |
| Summary: | 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. |
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| Item Description: | Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/ |
| Physical Description: | 1 electronic resource (158 p.) |
| ISBN: | 9783731512905 1000156966 |