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  Non-parametric Policy Search with Limited Information Loss

van Hoof, H., Neumann, G., & Peters, J. (2017). Non-parametric Policy Search with Limited Information Loss. Journal of Machine Learning Research, 18: 73. Retrieved from http://jmlr.org/papers/v18/16-142.html.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0001-2543-A Version Permalink: https://hdl.handle.net/21.11116/0000-0004-74AE-6
Genre: Journal Article

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 Creators:
van Hoof, H.1, Author
Neumann, G.1, Author
Peters, J2, 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: 2017-082017
 Publication Status: Issued
 Pages: 46
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: vanHoof_JMLR_2017
URI: http://jmlr.org/papers/v18/16-142.html
URI: https://dl.acm.org/citation.cfm?id=3176817
 Degree: -

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Title: Journal of Machine Learning Research
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Brookline, MA : Microtome Publishing
Pages: - Volume / Issue: 18 Sequence Number: 73 Start / End Page: - Identifier: ISSN: 1532-4435
CoNE: https://pure.mpg.de/cone/journals/resource/111002212682020