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  Model-Based Quality-Diversity Search for Efficient Robot Learning

Keller, L., Tanneberg, D., Stark, S., & Peters, J. (2022). Model-Based Quality-Diversity Search for Efficient Robot Learning. In 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021) (pp. 9675-9680). Piscataway, NJ: IEEE. doi:10.1109/IROS45743.2020.9340794.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000A-FB00-B Version Permalink: https://hdl.handle.net/21.11116/0000-000A-FB01-A
Genre: Conference Paper

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Locator:
https://doi.org/10.48550/arXiv.2008.04589 (Preprint)
Description:
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OA-Status:
Green

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 Creators:
Keller, Leon1, Author
Tanneberg, Daniel1, Author
Stark, Svenja1, Author
Peters, Jan2, 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: 2021-02-102022-02
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1109/IROS45743.2020.9340794
BibTex Citekey: KelTanStaPet20
 Degree: -

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Title: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021)
Place of Event: Prague
Start-/End Date: 2020-09-27 - 2020-10-01

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Title: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Piscataway, NJ : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 9675 - 9680 Identifier: ISBN: 978-1-6654-1715-0
ISBN: 978-1-6654-1714-3
ISSN: 2153-0858
DOI: 10.1109/IROS45743.2020