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Titel:

Smart Forgetting for Safe Online Learning with Gaussian Processes

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz
Autor(en):
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...     »
Stichworte:
data_driven_control; coman
Herausgeber:
Proceedings of Machine Learning Research
Kongress- / Buchtitel:
Learning for Dynamics & Control
Jahr:
2020
Seiten:
10
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