%0 Conference Paper %1 conf/nips/LiangSZH22 %A Liang, Yongyuan %A Sun, Yanchao %A Zheng, Ruijie %A Huang, Furong %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 Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning. %U http://dblp.uni-trier.de/db/conf/nips/neurips2022.html#LiangSZH22 %@ 9781713871088

@inproceedings{conf/nips/LiangSZH22, added-at = {2024-01-08T00:00:00.000+0100}, author = {Liang, Yongyuan and Sun, Yanchao and Zheng, Ruijie and Huang, Furong}, biburl = {https://www.bibsonomy.org/bibtex/22bbe5b31e6f97d186aa6c773d0baad33/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/8d6b1d775014eff18256abeb207202ad-Abstract-Conference.html}, interhash = {6c62053be41a099d831809cb225c6a1a}, intrahash = {2bbe5b31e6f97d186aa6c773d0baad33}, isbn = {9781713871088}, keywords = {dblp}, timestamp = {2024-04-09T23:22:16.000+0200}, title = {Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning.}, url = {http://dblp.uni-trier.de/db/conf/nips/neurips2022.html#LiangSZH22}, year = 2022 }