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RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning


Nov 04, 2021
Sabela Ramos, Sertan Girgin, Léonard Hussenot, Damien Vincent, Hanna Yakubovich, Daniel Toyama, Anita Gergely, Piotr Stanczyk, Raphael Marinier, Jeremiah Harmsen, Olivier Pietquin, Nikola Momchev

* https://github.com/google-research/rlds 

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Hyperparameter Selection for Imitation Learning


May 25, 2021
Leonard Hussenot, Marcin Andrychowicz, Damien Vincent, Robert Dadashi, Anton Raichuk, Lukasz Stafiniak, Sertan Girgin, Raphael Marinier, Nikola Momchev, Sabela Ramos, Manu Orsini, Olivier Bachem, Matthieu Geist, Olivier Pietquin

* ICML 2021 

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*-CFQ: Analyzing the Scalability of Machine Learning on a Compositional Task


Dec 15, 2020
Dmitry Tsarkov, Tibor Tihon, Nathan Scales, Nikola Momchev, Danila Sinopalnikov, Nathanael Schärli

* Accepted, AAAI-21 

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Measuring Compositional Generalization: A Comprehensive Method on Realistic Data


Dec 20, 2019
Daniel Keysers, Nathanael Schärli, Nathan Scales, Hylke Buisman, Daniel Furrer, Sergii Kashubin, Nikola Momchev, Danila Sinopalnikov, Lukasz Stafiniak, Tibor Tihon, Dmitry Tsarkov, Xiao Wang, Marc van Zee, Olivier Bousquet

* Accepted for publication at ICLR 2020 

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