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%0 Conference Paper
%1 conf/nips/LiuBD022
%A Liu, Runze
%A Bai, Fengshuo
%A Du, Yali
%A Yang, Yaodong
%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 Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning.
%U http://dblp.uni-trier.de/db/conf/nips/neurips2022.html#LiuBD022
%@ 9781713871088
@inproceedings{conf/nips/LiuBD022,
added-at = {2024-01-08T00:00:00.000+0100},
author = {Liu, Runze and Bai, Fengshuo and Du, Yali and Yang, Yaodong},
biburl = {https://www.bibsonomy.org/bibtex/217dc4913a2454705ad8244443a9c34fb/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/8be9c134bb193d8bd3827d4df8488228-Abstract-Conference.html},
interhash = {25bebd5a5ab45618ae09ce1e5948aa21},
intrahash = {17dc4913a2454705ad8244443a9c34fb},
isbn = {9781713871088},
keywords = {dblp},
timestamp = {2024-04-09T23:22:16.000+0200},
title = {Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning.},
url = {http://dblp.uni-trier.de/db/conf/nips/neurips2022.html#LiuBD022},
year = 2022
}