%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 }