Empirical Inference
Conference Paper
2021
Representation Learning for Out-of-distribution Generalization in Reinforcement Learning Learning
Empirical Inference
Empirical Inference
| Author(s): | Träuble*, F. and Dittadi*, A. and Wüthrich, M. and Widmaier, F. and Gehler, P. and Winther, O. and Locatello, F. and Bachem, O. and Schölkopf, B. and Bauer, S. |
| Book Title: | ICML 2021 Workshop on Unsupervised Reinforcement Learning (ICML 2021) |
| Year: | 2021 |
| Month: | July |
| Project(s): | |
| BibTeX Type: | Conference Paper (conference) |
| Event Name: | ICML 2021 Workshop on Unsupervised Reinforcement Learning (ICML 2021) |
| Event Place: | Virtual Conference |
| State: | Published |
| URL: | https://openreview.net/pdf?id=I8rHTlfITWC |
| Article Number: | 40 |
| Electronic Archiving: | grant_archive |
| Note: | *equal contribution |
BibTeX
@conference{Traubleetal21c,
title = {Representation Learning for Out-of-distribution Generalization in Reinforcement Learning Learning},
booktitle = {ICML 2021 Workshop on Unsupervised Reinforcement Learning (ICML 2021) },
month = jul,
year = {2021},
note = {*equal contribution},
author = {Tr{\"a}uble*, F. and Dittadi*, A. and W{\"u}thrich, M. and Widmaier, F. and Gehler, P. and Winther, O. and Locatello, F. and Bachem, O. and Sch{\"o}lkopf, B. and Bauer, S.},
url = {https://openreview.net/pdf?id=I8rHTlfITWC},
month_numeric = {7}
}