Kuang-Huei Lee, Ted Xiao, Adrian Li, Paul Wohlhart, Ian Fischer, Yao Lu 0006. PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale. In Karen Liu, Dana Kulic, Jeffrey Ichnowski, editors, Conference on Robot Learning, CoRL 2022, 14-18 December 2022, Auckland, New Zealand. Volume 205 of Proceedings of Machine Learning Research, pages 1696-1707, PMLR, 2022. [doi]
@inproceedings{LeeXLWF022,
title = {PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale},
author = {Kuang-Huei Lee and Ted Xiao and Adrian Li and Paul Wohlhart and Ian Fischer and Yao Lu 0006},
year = {2022},
url = {https://proceedings.mlr.press/v205/lee23a.html},
researchr = {https://researchr.org/publication/LeeXLWF022},
cites = {0},
citedby = {0},
pages = {1696-1707},
booktitle = {Conference on Robot Learning, CoRL 2022, 14-18 December 2022, Auckland, New Zealand},
editor = {Karen Liu and Dana Kulic and Jeffrey Ichnowski},
volume = {205},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}