| Bootstrap your own latent-a new approach to self-supervised learning JB Grill, F Strub, F Altché, C Tallec, P Richemond, E Buchatskaya, ... Advances in neural information processing systems 33, 21271-21284, 2020 | 4903 | 2020 |
| Bootstrap latent-predictive representations for multitask reinforcement learning ZD Guo, BA Pires, B Piot, JB Grill, F Altché, R Munos, MG Azar International Conference on Machine Learning, 3875-3886, 2020 | 122 | 2020 |
| Broaden your views for self-supervised video learning A Recasens, P Luc, JB Alayrac, L Wang, F Strub, C Tallec, M Malinowski, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 107 | 2021 |
| Black-box optimization of noisy functions with unknown smoothness JB Grill, M Valko, R Munos Advances in Neural Information Processing Systems 28, 2015 | 106 | 2015 |
| Byol works even without batch statistics PH Richemond, JB Grill, F Altché, C Tallec, F Strub, A Brock, S Smith, ... arXiv preprint arXiv:2010.10241, 2020 | 73 | 2020 |
| Monte-Carlo tree search as regularized policy optimization JB Grill, F Altché, Y Tang, T Hubert, M Valko, I Antonoglou, R Munos International Conference on Machine Learning, 3769-3778, 2020 | 61 | 2020 |
| World discovery models MG Azar, B Piot, BA Pires, JB Grill, F Altché, R Munos arXiv preprint arXiv:1902.07685, 2019 | 38 | 2019 |
| Byol-explore: Exploration by bootstrapped prediction Z Guo, S Thakoor, M Pîslar, B Avila Pires, F Altché, C Tallec, A Saade, ... Advances in neural information processing systems 35, 31855-31870, 2022 | 36 | 2022 |
| Blazing the trails before beating the path: Sample-efficient Monte-Carlo planning JB Grill, M Valko, R Munos Advances in Neural Information Processing Systems 29, 2016 | 28 | 2016 |
| Planning in entropy-regularized Markov decision processes and games JB Grill, O Darwiche Domingues, P Ménard, R Munos, M Valko Advances in Neural Information Processing Systems 32, 2019 | 20 | 2019 |
| On the role of population heterogeneity in emergent communication M Rita, F Strub, JB Grill, O Pietquin, E Dupoux arXiv preprint arXiv:2204.12982, 2022 | 13 | 2022 |
| Emergent communication: Generalization and overfitting in lewis games M Rita, C Tallec, P Michel, JB Grill, O Pietquin, E Dupoux, F Strub Advances in Neural Information Processing Systems 35, 1389-1404, 2022 | 9 | 2022 |
| Optimistic optimization of a Brownian JB Grill, M Valko, R Munos Advances in Neural Information Processing Systems 31, 2018 | 7 | 2018 |
| Predicting Performance on Dichotomous Questions: Comparing Models for Large-Scale Adaptive Testing. JJ Vie, F Popineau, JB Grill, É Bruillard, Y Bourda EDM, 618-619, 2015 | 2 | 2015 |
| Learning environment representations for agent control using predictions of bootstrapped latents Z Guo, MG Azar, BA Pires, F Altché, JBFL Grill, B Piot, R Munos US Patent App. 17/797,886, 2023 | | 2023 |
| Self-supervised representation learning using bootstrapped latent representations JBFL Grill, F Strub, F Altché, C Tallec, P Richemond, BA Pires, Z Guo, ... US Patent App. 17/338,777, 2021 | | 2021 |
| Statistical efficiency of Thompson sampling for combinatorial semi-bandits PH Richemond, JB Grill, F Altché, C Tallec, F Strub, A Brock, S Smith, ... Neural Information Processing Systems Conference, 2020 | | 2020 |
| World Discovery Models M Gheshlaghi Azar, B Piot, B Avila Pires, JB Grill, F Altché, R Munos arXiv e-prints, arXiv: 1902.07685, 2019 | | 2019 |
| Prédiction de performance sur des questions dichotomiques: comparaison de modèles pour des tests adaptatifs à grande échelle JJ Vie, F Popineau, JB Grill, É Bruillard, Y Bourda Atelier Évaluation des Apprentissages et Environnements Informatiques, EIAH 2015, 2015 | | 2015 |
