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Document type:
Konferenzbeitrag 
Contribution type:
Textbeitrag / Aufsatz 
Author(s):
J. Umlauft; T. Beckers; A. Capone; A. Lederer; S. Hirche 
Title:
Smart Forgetting for Safe Online Learning with Gaussian Processes 
Abstract:
The identification of unknown dynamical systems using supervised learning enables model-based control of systems that cannot be modeled based on first principles. While most control literature focuses on the analysis of a static dataset, online learning control, where data points are added while the controller is running, has rarely been studied in depth. In this paper, we present a novel approach for online learning control based on Gaussian process models. To avoid computatio...    »
 
Keywords:
data_driven_control 
Editor:
Proceedings of Machine Learning Research 
Book / Congress title:
Learning for Dynamics & Control 
Year:
2020 
Pages:
10