Temporal abstractions-augmented temporally contrastive learning: An alternative to the Laplacian in RL - researchr publication authors

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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]

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