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Sparse Gaussian Process Regression using Progressively Growing Learning Representations

Published:2022-12-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 61st Conference on Decision and Control (CDC)
language:
Short-container-title:

Author:

Mavridis Christos N.¹,Kontoudis George P.²,Baras John S.¹

Affiliation:

1. Institute for Systems Research, University of Maryland,Department of Electrical and Computer Engineering,College Park,USA

2. University of Maryland,Maryland Robotics Center, Inst. of Systems Research,Dept. of Aerospace Engineering,College Park,MD,USA

Funder

Defense Advanced Research Projects Agency

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9992315/9992317/09992933.pdf?arnumber=9992933

Reference21 articles.

2. Actively learning Gaussian process dynamics;Buisson-Fenet,2020

3. Gaussian Processes for Data-Efficient Learning in Robotics and Control

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4. Adaptive Exploration-Exploitation Active Learning of Gaussian Processes;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

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