| Detecting disease outbreaks in mass gatherings using Internet data E Yom-Tov, D Borsa, IJ Cox, RA McKendry Journal of medical Internet research 16 (6), e154, 2014 | 52 | 2014 |
| Transfer in deep reinforcement learning using successor features and generalised policy improvement A Barreto, D Borsa, J Quan, T Schaul, D Silver, M Hessel, D Mankowitz, ... arXiv preprint arXiv:1901.10964, 2019 | 31 | 2019 |
| Automatic identification of Web-based risk markers for health events E Yom-Tov, D Borsa, AC Hayward, RA McKendry, IJ Cox Journal of medical Internet research 17 (1), e29, 2015 | 24 | 2015 |
| Learning shared representations in multi-task reinforcement learning D Borsa, T Graepel, J Shawe-Taylor arXiv preprint arXiv:1603.02041, 2016 | 14 | 2016 |
| Training deep neural nets to aggregate crowdsourced responses A Gaunt, D Borsa, Y Bachrach Proceedings of the Thirty-Second Conference on Uncertainty in Artificial …, 2016 | 12 | 2016 |
| Observational learning by reinforcement learning D Borsa, N Heess, B Piot, S Liu, L Hasenclever, R Munos, O Pietquin Proceedings of the 18th International Conference on Autonomous Agents and …, 2019 | 11 | 2019 |
| Ray interference: a source of plateaus in deep reinforcement learning T Schaul, D Borsa, J Modayil, R Pascanu arXiv preprint arXiv:1904.11455, 2019 | 11 | 2019 |
| Universal successor features approximators D Borsa, A Barreto, J Quan, D Mankowitz, R Munos, H van Hasselt, ... arXiv preprint arXiv:1812.07626, 2018 | 9 | 2018 |
| The termination critic A Harutyunyan, W Dabney, D Borsa, N Heess, R Munos, D Precup arXiv preprint arXiv:1902.09996, 2019 | 5 | 2019 |
| The wreath process: A totally generative model of geometric shape based on nested symmetries D Borsa, T Graepel, A Gordon arXiv preprint arXiv:1506.03041, 2015 | 4 | 2015 |
| Conditional Importance Sampling for Off-Policy Learning M Rowland, A Harutyunyan, H van Hasselt, D Borsa, T Schaul, R Munos, ... arXiv preprint arXiv:1910.07479, 2019 | 1 | 2019 |
| General non-linear Bellman equations H van Hasselt, J Quan, M Hessel, Z Xu, D Borsa, A Barreto arXiv preprint arXiv:1907.03687, 2019 | 1 | 2019 |
| Adapting Behaviour for Learning Progress T Schaul, D Borsa, D Ding, D Szepesvari, G Ostrovski, W Dabney, ... arXiv preprint arXiv:1912.06910, 2019 | | 2019 |
| The Option Keyboard: Combining Skills in Reinforcement Learning A Barreto, D Borsa, S Hou, G Comanici, E Aygün, P Hamel, D Toyama, ... Advances in Neural Information Processing Systems, 13031-13041, 2019 | | 2019 |
| Detection of Disease Outbreaks in Mass Gatherings Using Internet Data I Cox, E Yom-Tov, D Borsa, A Johnson, RA McKendry Medicine 2.0 Conference, 2013 | | 2013 |
| Implementation and demonstration of continuous-valued OOMs learning algorithm DL Borsa | | 2011 |
| Learning shared structures in MDPs from multiple tasks D Borsa, T Graepel, J Shawe-Taylor | | |
| LUBRICATION MODEL FOR THE FLOW DRIVEN BY HIGH SURFACE TENSION ER Borsa, DL Borsa Lubrication model for the flow driven by high surface tension 1 Emilia …, 0 | | |
Rémi MunosDeepMindVerified email at inria.fr
