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  A Nonparametric Off-Policy Policy Gradient

Tosatto, S., Carvalho, J., Abdulsamad, H., & Peters, J. (2020). A Nonparametric Off-Policy Policy Gradient. In S. Chiappa, & R. Calandra (Eds.), Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS) 2020 (pp. 167-177). PMLR. Retrieved from https://proceedings.mlr.press/v108/tosatto20a.html.

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Description:
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OA-Status:
Green
Description:
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OA-Status:
Gold

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 Creators:
Tosatto, S.1, Author
Carvalho, J.1, Author
Abdulsamad, H.1, Author
Peters, J1, 2, 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: 2020
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: TosCarAbdPet20
URI: https://proceedings.mlr.press/v108/tosatto20a.html
arXiv: 2001.02435
 Degree: -

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Title: 23rd International Conference on Artificial Intelligence and Statistics (AISTATS 2020)
Place of Event: Online
Start-/End Date: 2020-08-26 - 2020-08-28

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Source 1

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Title: Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS) 2020
Source Genre: Proceedings
 Creator(s):
Chiappa, Silvia, Editor
Calandra, Roberto, Editor
Affiliations:
-
Publ. Info: PMLR
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 167 - 177 Identifier: URI: https://proceedings.mlr.press/v108/

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Title: Proceedings of Machine Learning Research (PMLR)
Source Genre: Series
 Creator(s):
Affiliations:
Publ. Info: PMLR
Pages: - Volume / Issue: 108 Sequence Number: - Start / End Page: - Identifier: ISSN: 2640-3498