Inproceedings,
Conservative Dual Policy Optimization for Efficient Model-Based Reinforcement Learning.
S. Zhang.NeurIPS, (2022)
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- conf/nips/Zhang22
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- inproceedings
- booktitle
- NeurIPS
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- 2022
- crossref
- conf/nips/2022
- ee
- http://papers.nips.cc/paper_files/paper/2022/hash/a3769fddee1b20552d2490c4ff18b136-Abstract-Conference.html
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- 9781713871088
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- http://dblp.uni-trier.de/db/conf/nips/neurips2022.html#Zhang22
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- please select -%0 Conference Paper
%1 conf/nips/Zhang22
%A Zhang, Shenao
%B NeurIPS
%D 2022
%E Koyejo, Sanmi
%E Mohamed, S.
%E Agarwal, A.
%E Belgrave, Danielle
%E Cho, K.
%E Oh, A.
%K dblp
%T Conservative Dual Policy Optimization for Efficient Model-Based Reinforcement Learning.
%U http://dblp.uni-trier.de/db/conf/nips/neurips2022.html#Zhang22
%@ 9781713871088
@inproceedings{conf/nips/Zhang22,
added-at = {2024-01-08T00:00:00.000+0100},
author = {Zhang, Shenao},
biburl = {https://www.bibsonomy.org/bibtex/2d8a03973b1fc4402686a0ab074be564e/dblp},
booktitle = {NeurIPS},
crossref = {conf/nips/2022},
editor = {Koyejo, Sanmi and Mohamed, S. and Agarwal, A. and Belgrave, Danielle and Cho, K. and Oh, A.},
ee = {http://papers.nips.cc/paper_files/paper/2022/hash/a3769fddee1b20552d2490c4ff18b136-Abstract-Conference.html},
interhash = {af1464ebec3cde3234a99be2c043cebf},
intrahash = {d8a03973b1fc4402686a0ab074be564e},
isbn = {9781713871088},
keywords = {dblp},
timestamp = {2024-04-09T23:22:16.000+0200},
title = {Conservative Dual Policy Optimization for Efficient Model-Based Reinforcement Learning.},
url = {http://dblp.uni-trier.de/db/conf/nips/neurips2022.html#Zhang22},
year = 2022
}