Search Results for author: Hamza Merzic

Found 6 papers, 2 papers with code

Grounded Language Learning Fast and Slow

1 code implementation ICLR 2021 Felix Hill, Olivier Tieleman, Tamara von Glehn, Nathaniel Wong, Hamza Merzic, Stephen Clark

Recent work has shown that large text-based neural language models, trained with conventional supervised learning objectives, acquire a surprising propensity for few- and one-shot learning.

Grounded language learning Meta-Learning +1

Probing Emergent Semantics in Predictive Agents via Question Answering

no code implementations ICML 2020 Abhishek Das, Federico Carnevale, Hamza Merzic, Laura Rimell, Rosalia Schneider, Josh Abramson, Alden Hung, Arun Ahuja, Stephen Clark, Gregory Wayne, Felix Hill

Recent work has shown how predictive modeling can endow agents with rich knowledge of their surroundings, improving their ability to act in complex environments.

Question Answering

Leveraging Contact Forces for Learning to Grasp

1 code implementation19 Sep 2018 Hamza Merzic, Miroslav Bogdanovic, Daniel Kappler, Ludovic Righetti, Jeannette Bohg

While it is possible to learn grasping policies without contact sensing, our results suggest that contact feedback allows for a significant improvement of grasping robustness under object pose uncertainty and for objects with a complex shape.

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