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  Actively Learning Gaussian Process Dynamics

Buisson-Fenet, M., Solowjow, F., & Trimpe, S. (2020). Actively Learning Gaussian Process Dynamics. In A. M. Bayen, A. Jadbabaie, G. Pappas, P. A. Parrilo, B. Recht, C. Tomlin, et al. (Eds.), Proceedings of the 2nd Conference on Learning for Dynamics and Control (pp. 5-15). PMLR. Retrieved from http://proceedings.mlr.press/v120/buisson-fenet20a.html.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0008-BB02-3 Version Permalink: https://hdl.handle.net/21.11116/0000-0008-BB04-1
Genre: Conference Paper

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 Creators:
Buisson-Fenet, Mona1, 2, Author           
Solowjow, Friedrich1, Author           
Trimpe, Sebastian1, Author           
Affiliations:
1Max Planck Research Group Intelligent Control Systems, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_2579691              
2External Organizations, ou_persistent22              

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Free keywords: Forschungsgruppe Trimpe
 Abstract: -

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Language(s): eng - English
 Dates: 2020
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Actively Learning Gaussian Process Dynamics
URI: http://proceedings.mlr.press/v120/buisson-fenet20a.html
 Degree: -

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Title: 2nd Annual Conference on Learning for Dynamics and Control (L4DC)
Place of Event: The Cloud
Start-/End Date: 2020-06-11 - 2020-06-12

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Title: Proceedings of the 2nd Conference on Learning for Dynamics and Control
Source Genre: Proceedings
 Creator(s):
Bayen, Alexandre M.1, Editor
Jadbabaie, Ali1, Editor
Pappas, George1, Editor
Parrilo, Pablo A.1, Editor
Recht, Benjamin1, Editor
Tomlin, Claire1, Editor
Zeilinger, Melanie1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: PMLR
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 5 - 15 Identifier: URI: http://proceedings.mlr.press/v120/

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Title: Proceedings of Machine Learning Research (PMLR)
Source Genre: Series
 Creator(s):
Affiliations:
Publ. Info: PMLR
Pages: - Volume / Issue: 120 Sequence Number: - Start / End Page: - Identifier: ISSN: 2640-3498