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Charline Le Lan

A Novel Stochastic Gradient Descent Algorithm for Learning Principal Subspaces

Dec 08, 2022
Charline Le Lan, Joshua Greaves, Jesse Farebrother, Mark Rowland, Fabian Pedregosa, Rishabh Agarwal, Marc G. Bellemare

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* 8 pages in main content, 2 pages of bibliography and 5 pages in Appendix

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On the Generalization of Representations in Reinforcement Learning

Mar 01, 2022
Charline Le Lan, Stephen Tu, Adam Oberman, Rishabh Agarwal, Marc G. Bellemare

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* Accepted at AISTATS22

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Metrics and continuity in reinforcement learning

Feb 02, 2021
Charline Le Lan, Marc G. Bellemare, Pablo Samuel Castro

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* Accepted at AAAI 2021

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Perfect density models cannot guarantee anomaly detection

Dec 07, 2020
Charline Le Lan, Laurent Dinh

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* I Can't Believe It's Not Better Workshop, 9 pages and 6 figures in main content, 4 pages of bibliography, and 3 pages and 3 figures in Appendix

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