Akram Erraqabi, Marlos C. Machado, Mingde Zhao, Sainbayar Sukhbaatar, Alessandro Lazaric, Ludovic Denoyer, Yoshua Bengio. Temporal abstractions-augmented temporally contrastive learning: An alternative to the Laplacian in RL. In James Cussens, Kun Zhang 0001, editors, Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, UAI 2022, 1-5 August 2022, Eindhoven, The Netherlands. Volume 180 of Proceedings of Machine Learning Research, pages 641-651, PMLR, 2022. [doi]
@inproceedings{ErraqabiMZSLDB22,
title = {Temporal abstractions-augmented temporally contrastive learning: An alternative to the Laplacian in RL},
author = {Akram Erraqabi and Marlos C. Machado and Mingde Zhao and Sainbayar Sukhbaatar and Alessandro Lazaric and Ludovic Denoyer and Yoshua Bengio},
year = {2022},
url = {https://proceedings.mlr.press/v180/erraqabi22a.html},
researchr = {https://researchr.org/publication/ErraqabiMZSLDB22},
cites = {0},
citedby = {0},
pages = {641-651},
booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, UAI 2022, 1-5 August 2022, Eindhoven, The Netherlands},
editor = {James Cussens and Kun Zhang 0001},
volume = {180},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}