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  Efficient Online Adaptation with Stochastic Recurrent Neural Networks

Tanneberg, D., Peters, J., & Rueckert, E. (2017). Efficient Online Adaptation with Stochastic Recurrent Neural Networks. In 2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids 2017) (pp. 198-204). Piscataway, NJ: IEEE. doi:10.1109/HUMANOIDS.2017.8246875.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0001-2559-2 Version Permalink: https://hdl.handle.net/21.11116/0000-000A-A812-4
Genre: Conference Paper

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 Creators:
Tanneberg, D.1, Author
Peters, J2, Author           
Rueckert, E.1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              

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Free keywords: Abt. Schölkopf
 Abstract: -

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Language(s): eng - English
 Dates: 2018-01-082017
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: humanoids17_01
DOI: 10.1109/HUMANOIDS.2017.8246875
 Degree: -

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Title: IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids 2017)
Place of Event: Birmingham
Start-/End Date: 2017-11-15 - 2017-11-17

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Title: 2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids 2017)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Piscataway, NJ : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 198 - 204 Identifier: ISBN: 978-1-5386-4678-6
ISBN: 978-1-5386-4679-3
ISSN: 2164-0580
DOI: 10.1109/Humanoids38222.2017