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  A Non-Parametric Approach to Dynamic Programming

Kroemer, O., & Peters, J. (2012). A Non-Parametric Approach to Dynamic Programming. In J. Shawe-Taylor, R. Zemel, P. Bartlett, F. Pereira, & K. Q. Weinberger (Eds.), Advances in Neural Information Processing Systems 24 (pp. 1719-1727). Red Hook, NY: Curran Associates, Inc. Retrieved from https://papers.nips.cc/paper/2011/hash/4311359ed4969e8401880e3c1836fbe1-Abstract.html.

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Genre: Conference Paper

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 Creators:
Kroemer, Oliver1, 2, Author           
Peters, Jan1, 2, Author           
Affiliations:
1Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              
2External Organizations, ou_persistent22              

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Free keywords: Abt. Schölkopf
 Abstract: -

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Language(s): eng - English
 Dates: 20112012-04
 Publication Status: Issued
 Pages: 9
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Degree: -

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Title: 25th Annual Conference on Neural Information Processing Systems (NIPS 2011)
Place of Event: Granada
Start-/End Date: 2011-12-12 - 2011-12-15

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Title: Advances in Neural Information Processing Systems 24
  Subtitle : 25th Annual Conference on Neural Information Processing Systems 2011
Source Genre: Proceedings
 Creator(s):
Shawe-Taylor, J.1, Editor
Zemel, R.1, Editor
Bartlett, P.1, Editor
Pereira, F.1, Editor
Weinberger, K. Q.1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Red Hook, NY : Curran Associates, Inc.
Pages: - Volume / Issue: 2 Sequence Number: - Start / End Page: 1719 - 1727 Identifier: ISBN: 978-1-61839-599-3
URI: https://papers.nips.cc/paper/2011