Reinforcement learning
On the importance of data collection for training general goal-reaching policies.
A Jacq*, M Orsini*, G Dulac-Arnold, M Geist, O Pietquin, O Bachem ALOE 2023.
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Lazy-mdps: Towards interpretable reinforcement learning by learning when to act.
A Jacq*, J Ferret*, M Geist, O Pietquin AAMAS 2022.
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Acme: A research framework for distributed reinforcement learning.
MW Hoffman, B Shahriari, J Aslanides, G Barth-Maron, N Momchev, D Sinopalnikov, P Stańczyk, S Ramos, A Raichuk, D Vincent,
L Hussenot, R Dadashi, G Dulac-Arnold, M Orsini, A Jacq, J Ferret, N Vieillard, S Kamyar, S Ghasemipour, S Girgin, O Pietquin,
F Behbahani, T Norman, A Abdolmaleki, A Cassirer, F Yang, K Baumli, S Henderson, A Friesen, R Haroun, A Novikov, SG Colmenarejo,
S Cabi, C Gulcehre, T Le Paine, S Srinivasan, A Cowie, Z Wang, B Piot, N de Freitas Preprint.
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Foolproof Cooperative Learning.
A Jacq, J Perolat, M Geist, O Pietquin ACML 2020.
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Learning from a Learner.
A Jacq, M Geist, A Paiva, O Pietquin ICML 2019.
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Human-robot interaction
Sensitivity To Perceived Mutual Understanding In Human-Robot Collaborations.
A Jacq, J Magnan, M Ferreira, P Dillenbourg, A Paiva . AAMAS 2018 .
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Child-Robot Spatial Arrangement in a Learning by Teaching Activity.
W Johal, A Jacq, A Paiva, P Dillenbourg RO-MAN 2016 .
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Learning by Teaching a Robot: The Case of Handwriting.
S Lemaignan, AD Jacq, D Hood, F Garcia, A Paiva, P DillenbourgRAM 2016.
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Building successful long child-robot interactions in a learning context.
A Jacq, S Lemaignan, F Garcia, P Dillenbourg, A Paiva HRI 2016.
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From real-time attention assessment to with-me-ness in human-robot interaction.
S Lemaignan, F Garcia, A Jacq, P Dillenbourg HRI 2016.
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