%0 Conference Paper %1 conf/icml/RakellyZFLQ19 %A Rakelly, Kate %A Zhou, Aurick %A Finn, Chelsea %A Levine, Sergey %A Quillen, Deirdre %B ICML %D 2019 %E Chaudhuri, Kamalika %E Salakhutdinov, Ruslan %I PMLR %K dblp %P 5331-5340 %T Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables. %U http://dblp.uni-trier.de/db/conf/icml/icml2019.html#RakellyZFLQ19 %V 97

@inproceedings{conf/icml/RakellyZFLQ19, added-at = {2019-06-11T00:00:00.000+0200}, author = {Rakelly, Kate and Zhou, Aurick and Finn, Chelsea and Levine, Sergey and Quillen, Deirdre}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/22e9492da758661a7b68496258a26ff6d/dblp}, booktitle = {ICML}, crossref = {conf/icml/2019}, editor = {Chaudhuri, Kamalika and Salakhutdinov, Ruslan}, ee = {http://proceedings.mlr.press/v97/rakelly19a.html}, interhash = {19101e4e1177e83491c880e5a1463461}, intrahash = {2e9492da758661a7b68496258a26ff6d}, keywords = {dblp}, pages = {5331-5340}, publisher = {PMLR}, series = {Proceedings of Machine Learning Research}, timestamp = {2019-09-27T18:28:10.000+0200}, title = {Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables.}, url = {http://dblp.uni-trier.de/db/conf/icml/icml2019.html#RakellyZFLQ19}, volume = 97, year = 2019 }