Jean-Bastien Grill

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 23

Top Topics

Alpha Beta Search

Monte Carlo Search

Markov Decision Process

Supervised Learning

Top Venues

Publications

Vincent Roulet, Atish Agarwala, Jean-Bastien Grill, Grzegorz Swirszcz, Mathieu Blondel, Fabian Pedregosa
Stepping on the Edge: Curvature Aware Learning Rate Tuners. CoRR (2024)
Zhaohan Guo, Shantanu Thakoor, Miruna Pislar, Bernardo Ávila Pires, Florent Altché, Corentin Tallec, Alaa Saade, Daniele Calandriello, Jean-Bastien Grill, Yunhao Tang, Michal Valko, Rémi Munos, Mohammad Gheshlaghi Azar, Bilal Piot
BYOL-Explore: Exploration by Bootstrapped Prediction. NeurIPS (2022)
Mathieu Rita, Florian Strub, Jean-Bastien Grill, Olivier Pietquin, Emmanuel Dupoux
On the role of population heterogeneity in emergent communication. CoRR (2022)
Mathieu Rita, Corentin Tallec, Paul Michel, Jean-Bastien Grill, Olivier Pietquin, Emmanuel Dupoux, Florian Strub
Emergent Communication: Generalization and Overfitting in Lewis Games. NeurIPS (2022)
Zhaohan Daniel Guo, Shantanu Thakoor, Miruna Pislar, Bernardo Ávila Pires, Florent Altché, Corentin Tallec, Alaa Saade, Daniele Calandriello, Jean-Bastien Grill, Yunhao Tang, Michal Valko, Rémi Munos, Mohammad Gheshlaghi Azar, Bilal Piot
BYOL-Explore: Exploration by Bootstrapped Prediction. CoRR (2022)
Mathieu Rita, Florian Strub, Jean-Bastien Grill, Olivier Pietquin, Emmanuel Dupoux
On the role of population heterogeneity in emergent communication. ICLR (2022)
Mathieu Rita, Corentin Tallec, Paul Michel, Jean-Bastien Grill, Olivier Pietquin, Emmanuel Dupoux, Florian Strub
Emergent Communication: Generalization and Overfitting in Lewis Games. CoRR (2022)
Adrià Recasens, Pauline Luc, Jean-Baptiste Alayrac, Luyu Wang, Florian Strub, Corentin Tallec, Mateusz Malinowski, Viorica Patraaucean, Florent Altché, Michal Valko, Jean-Bastien Grill, Aäron van den Oord, Andrew Zisserman
Broaden Your Views for Self-Supervised Video Learning. ICCV (2021)
Adrià Recasens, Pauline Luc, Jean-Baptiste Alayrac, Luyu Wang, Florian Strub, Corentin Tallec, Mateusz Malinowski, Viorica Patraucean, Florent Altché, Michal Valko, Jean-Bastien Grill, Aäron van den Oord, Andrew Zisserman
Broaden Your Views for Self-Supervised Video Learning. CoRR (2021)
Zhaohan Daniel Guo, Bernardo Ávila Pires, Bilal Piot, Jean-Bastien Grill, Florent Altché, Rémi Munos, Mohammad Gheshlaghi Azar
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning. ICML (2020)
Jean-Bastien Grill, Florian Strub, Florent Altché, Corentin Tallec, Pierre H. Richemond, Elena Buchatskaya, Carl Doersch, Bernardo Ávila Pires, Zhaohan Daniel Guo, Mohammad Gheshlaghi Azar, Bilal Piot, Koray Kavukcuoglu, Rémi Munos, Michal Valko
Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning. CoRR (2020)
Pierre H. Richemond, Jean-Bastien Grill, Florent Altché, Corentin Tallec, Florian Strub, Andrew Brock, Samuel L. Smith, Soham De, Razvan Pascanu, Bilal Piot, Michal Valko
BYOL works even without batch statistics. CoRR (2020)
Jean-Bastien Grill, Florian Strub, Florent Altché, Corentin Tallec, Pierre H. Richemond, Elena Buchatskaya, Carl Doersch, Bernardo Ávila Pires, Zhaohan Guo, Mohammad Gheshlaghi Azar, Bilal Piot, Koray Kavukcuoglu, Rémi Munos, Michal Valko
Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning. NeurIPS (2020)
Jean-Bastien Grill, Florent Altché, Yunhao Tang, Thomas Hubert, Michal Valko, Ioannis Antonoglou, Rémi Munos
Monte-Carlo Tree Search as Regularized Policy Optimization. CoRR (2020)
Zhaohan Daniel Guo, Bernardo Ávila Pires, Bilal Piot, Jean-Bastien Grill, Florent Altché, Rémi Munos, Mohammad Gheshlaghi Azar
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning. CoRR (2020)
Jean-Bastien Grill, Florent Altché, Yunhao Tang, Thomas Hubert, Michal Valko, Ioannis Antonoglou, Rémi Munos
Monte-Carlo Tree Search as Regularized Policy Optimization. ICML (2020)
Jean-Bastien Grill, Omar Darwiche Domingues, Pierre Ménard, Rémi Munos, Michal Valko
Planning in entropy-regularized Markov decision processes and games. NeurIPS (2019)
Jean-Bastien Grill, Michal Valko, Rémi Munos
Optimistic optimization of a Brownian. CoRR (2019)
Mohammad Gheshlaghi Azar, Bilal Piot, Bernardo A. Pires, Jean-Bastien Grill, Florent Altché, Rémi Munos
World Discovery Models. CoRR (2019)
Jean-Bastien Grill, Michal Valko, Rémi Munos
Optimistic optimization of a Brownian. NeurIPS (2018)
Jean-Bastien Grill, Michal Valko, Rémi Munos
Blazing the trails before beating the path: Sample-efficient Monte-Carlo planning. NIPS (2016)
Jill-Jênn Vie, Fabrice Popineau, Jean-Bastien Grill, Eric Bruillard, Yolaine Bourda
Predicting Performance on Dichotomous Questions: Comparing Models for Large-Scale Adaptive Testing. EDM (2015)
Jean-Bastien Grill, Michal Valko, Rémi Munos
Black-box optimization of noisy functions with unknown smoothness. NIPS (2015)