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  Model-based Contextual Policy Search for Data-Efficient Generalization of Robot Skills

Kupcsik, A., Deisenroth, M., Peters, J., Ai Poh, L., Vadakkepat, V., & Neumann, G. (2017). Model-based Contextual Policy Search for Data-Efficient Generalization of Robot Skills. Artificial Intelligence, 247, 415-439. doi:10.1016/j.artint.2014.11.005.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-002A-20A5-D Version Permalink: https://hdl.handle.net/21.11116/0000-0001-1804-0
Genre: Journal Article

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Kupcsik, A.G.1, Author
Deisenroth, M.P.1, Author
Peters, J.2, 3, Author           
Ai Poh, L.1, Author
Vadakkepat, V.1, Author
Neumann, G.1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, DE, ou_1497647              
3Dept. Autonomous Motion, Max Planck Institute for Intelligent Systems, Max Planck Society, DE, ou_1497646              

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Free keywords: Abt. Schölkopf; Abt. Schaal
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 Dates: 2014-12-012017-06
 Publication Status: Issued
 Pages: 25
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Kupcsiketal15
DOI: 10.1016/j.artint.2014.11.005
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Title: Artificial Intelligence
Source Genre: Journal
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Publ. Info: Amsterdam [etc.] : Elsevier
Pages: - Volume / Issue: 247 Sequence Number: - Start / End Page: 415 - 439 Identifier: ISSN: 0004-3702
CoNE: https://pure.mpg.de/cone/journals/resource/954925382047