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Lukasz Stafiniak

2 accepted papers

2021

Hyperparameter Selection for Imitation Learning

ICML 2021oral

We address the issue of tuning hyperparameters (HPs) for imitation learning algorithms in the context of continuous-control, when the underlying reward function of the demonstrating expert cannot be observed at any time. The vast literature in imitation learning mostly considers this reward function…

2020

Measuring Compositional Generalization: A Comprehensive Method on Realistic Data

ICLR 2020poster

State-of-the-art machine learning methods exhibit limited compositional generalization. At the same time, there is a lack of realistic benchmarks that comprehensively measure this ability, which makes it challenging to find and evaluate improvements. We introduce a novel method to systematically con…

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