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Title:

Smart Forgetting for Safe Online Learning with Gaussian Processes

Document type:
Konferenzbeitrag
Contribution type:
Textbeitrag / Aufsatz
Author(s):
J. Umlauft; T. Beckers; A. Capone; A. Lederer; S. Hirche
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; coman
Editor:
Proceedings of Machine Learning Research
Book / Congress title:
Learning for Dynamics & Control
Year:
2020
Pages:
10
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