@article{journals/corr/abs-2402-06187,
added-at = {2024-02-16T00:00:00.000+0100},
author = {Zheng, Ruijie and Liang, Yongyuan and Wang, Xiyao and Ma, Shuang and III, Hal Daumé and Xu, Huazhe and Langford, John and Palanisamy, Praveen and Basu, Kalyan Shankar and Huang, Furong},
biburl = {https://www.bibsonomy.org/bibtex/22f71df822bfc1e74aa42a8e5262073c7/dblp},
ee = {https://doi.org/10.48550/arXiv.2402.06187},
interhash = {f09cc4ca88d19eaede5178194eb49c13},
intrahash = {2f71df822bfc1e74aa42a8e5262073c7},
journal = {CoRR},
keywords = {dblp},
timestamp = {2024-04-08T23:38:33.000+0200},
title = {Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss.},
url = {http://dblp.uni-trier.de/db/journals/corr/corr2402.html#abs-2402-06187},
volume = {abs/2402.06187},
year = 2024
}