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  Automatic LQR Tuning Based on Gaussian Process Global Optimization

Marco Valle, A., Hennig, P., Bohg, J., Schaal, S., & Trimpe, S. (2016). Automatic LQR Tuning Based on Gaussian Process Global Optimization. In 2016 IEEE International Conference on Robotics and Automation (ICRA 2016) (pp. 270-277). Piscataway, NJ: IEEE. doi:10.1109/ICRA.2016.7487144.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002D-1D71-D Version Permalink: https://hdl.handle.net/21.11116/0000-000A-9EF1-4
Genre: Conference Paper

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 Creators:
Marco Valle, Alonso1, Author           
Hennig, Philipp2, Author           
Bohg, Jeannette1, Author           
Schaal, Stefan1, Author           
Trimpe, Sebastian1, Author           
Affiliations:
1Dept. Autonomous Motion, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497646              
2Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              

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Free keywords: Abt. Schaal; Abt. Schölkopf
 Abstract: -

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Language(s): eng - English
 Dates: 2016-06-092016
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: marco_ICRA_2016
DOI: 10.1109/ICRA.2016.7487144
 Degree: -

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Title: IEEE International Conference on Robotics and Automation (ICRA 2016)
Place of Event: Stockholm
Start-/End Date: 2016-05-16 - 2016-05-21

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Title: 2016 IEEE International Conference on Robotics and Automation (ICRA 2016)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Piscataway, NJ : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 270 - 277 Identifier: ISBN: 978-1-4673-8026-3
ISBN: 978-1-4673-8027-0
ISSN: 1060-0272
URI: https://ieeexplore.ieee.org/xpl/conhome/7478842/proceeding