Kate Rakelly, Aurick Zhou, Chelsea Finn, Sergey Levine, Deirdre Quillen. Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables. In Kamalika Chaudhuri, Ruslan Salakhutdinov, editors, Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA. Volume 97 of Proceedings of Machine Learning Research, pages 5331-5340, PMLR, 2019. [doi]
@inproceedings{RakellyZFLQ19,
title = {Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables},
author = {Kate Rakelly and Aurick Zhou and Chelsea Finn and Sergey Levine and Deirdre Quillen},
year = {2019},
url = {http://proceedings.mlr.press/v97/rakelly19a.html},
researchr = {https://researchr.org/publication/RakellyZFLQ19},
cites = {0},
citedby = {0},
pages = {5331-5340},
booktitle = {Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA},
editor = {Kamalika Chaudhuri and Ruslan Salakhutdinov},
volume = {97},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}