Search Results for author: Lukasz Stafiniak

Found 2 papers, 1 papers with code

Hyperparameter Selection for Imitation Learning

no code implementations • 25 May 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

The vast literature in imitation learning mostly considers this reward function to be available for HP selection, but this is not a realistic setting.

Continuous Control Imitation Learning

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Measuring Compositional Generalization: A Comprehensive Method on Realistic Data

3 code implementations • ICLR 2020 • 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

We present a large and realistic natural language question answering dataset that is constructed according to this method, and we use it to analyze the compositional generalization ability of three machine learning architectures.

Ranked #5 on Semantic Parsing on CFQ

BIG-bench Machine Learning Question Answering +1

33,976

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