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Author(s):
A. Lederer; A. Capone; T. Beckers; J. Umlauft; S. Hirche 
Title:
The Value of Data in Learning-Based Control for Training Subset Selection 
Abstract:
Despite the existence of formal guarantees for learning-based control approaches, the relationship between data and control performance is still poorly understood. In this paper, we present a measure to quantify the value of data within the context of a predefined control task. Our approach is applicable to a wide variety of unknown nonlinear systems that are to be controlled by a generic learning-based control law. We model the unknown component of the system using Gaussian processes, which in...    »
 
Month:
Nov 
Year:
2020 
Language:
en 
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