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  Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic

Gu, S., Lillicrap, T., Ghahramani, Z., Turner, R. E., & Levine, S. (2017). Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic. In Proceedings International Conference on Learning Representations 2017. Amherst, MA: OpenReviews.net. Retrieved from https://openreview.net/pdf?id=SJ3rcZcxl.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0001-1ED0-3 Version Permalink: https://hdl.handle.net/21.11116/0000-0001-1ED1-2
Genre: Conference Paper

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 Creators:
Gu, Shixiang1, Author           
Lillicrap, Timothy2, Author
Ghahramani, Zoubin2, Author
Turner, Richard E.2, Author
Levine, Sergey2, 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
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Language(s): eng - English
 Dates: 20172017-04
 Publication Status: Issued
 Pages: 13
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: GuLilGhaTurLev17
URI: https://openreview.net/pdf?id=SJ3rcZcxl
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Title: International Conference on Learning Representations 2017
Place of Event: Toulon, France
Start-/End Date: 2017-04-24 - 2017-04-26

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Title: Proceedings International Conference on Learning Representations 2017
Source Genre: Proceedings
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Publ. Info: Amherst, MA : OpenReviews.net
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: URI: https://openreview.net/group?id=ICLR.cc/2017/conference