@inproceedings{conf/icml/LiuCILW0Z22,
added-at = {2023-01-28T00:00:00.000+0100},
author = {Liu, Zuxin and Cen, Zhepeng and Isenbaev, Vladislav and Liu, Wei and Wu, Zhiwei Steven and Li, Bo and Zhao, Ding},
biburl = {https://www.bibsonomy.org/bibtex/2c359b6475c9c44a47f881072b410f01e/dblp},
booktitle = {ICML},
crossref = {conf/icml/2022},
editor = {Chaudhuri, Kamalika and Jegelka, Stefanie and Song, Le and Szepesvári, Csaba and Niu, Gang and Sabato, Sivan},
ee = {https://proceedings.mlr.press/v162/liu22b.html},
interhash = {3cf80507cc62439a1a426c66b62da90f},
intrahash = {c359b6475c9c44a47f881072b410f01e},
keywords = {dblp},
pages = {13644-13668},
publisher = {PMLR},
series = {Proceedings of Machine Learning Research},
timestamp = {2024-04-10T01:44:28.000+0200},
title = {Constrained Variational Policy Optimization for Safe Reinforcement Learning.},
url = {http://dblp.uni-trier.de/db/conf/icml/icml2022.html#LiuCILW0Z22},
volume = 162,
year = 2022
}