Self-Learning Longitudinal Control for On-Road Vehicles

Beschreibung

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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Luca Puccetti

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Regelungstechnik Künstliche Intelligenz Fahrzeugregelung Längsdynamik Bestärkendes Lernen Control Theory Artificial Intelligence Vehicle Control Longitudinal Dynamics Reinforcement Learning

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