| Deep q-learning from demonstrations T Hester, M Vecerik, O Pietquin, M Lanctot, T Schaul, B Piot, D Horgan, ... Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 440 | 2018 |
| A unified game-theoretic approach to multiagent reinforcement learning M Lanctot, V Zambaldi, A Gruslys, A Lazaridou, K Tuyls, J Pérolat, D Silver, ... arXiv preprint arXiv:1711.00832, 2017 | 285 | 2017 |
| Value-decomposition networks for cooperative multi-agent learning P Sunehag, G Lever, A Gruslys, WM Czarnecki, V Zambaldi, M Jaderberg, ... arXiv preprint arXiv:1706.05296, 2017 | 270 | 2017 |
| Comparing, optimizing, and benchmarking quantum-control algorithms in a unifying programming framework S Machnes, U Sander, SJ Glaser, P de Fouquieres, A Gruslys, S Schirmer, ... Physical Review A 84, 022305, 2011 | 208 | 2011 |
| Learning from demonstrations for real world reinforcement learning T Hester, M Vecerik, O Pietquin, M Lanctot, T Schaul, B Piot, A Sendonaris, ... | 124 | 2017 |
| Memory-efficient backpropagation through time A Gruslys, R Munos, I Danihelka, M Lanctot, A Graves Advances in Neural Information Processing Systems, 4125-4133, 2016 | 111 | 2016 |
| Three-dimensional digital template atlas of the macaque brain C Reveley, A Gruslys, FQ Ye, D Glen, J Samaha, B E. Russ, Z Saad, ... Cerebral cortex 27 (9), 4463-4477, 2017 | 80 | 2017 |
| The reactor: A sample-efficient actor-critic architecture A Gruslys, MG Azar, MG Bellemare, R Munos arXiv preprint arXiv:1704.04651 5, 2017 | 59 | 2017 |
| The reactor: A fast and sample-efficient actor-critic agent for reinforcement learning A Gruslys, W Dabney, MG Azar, B Piot, M Bellemare, R Munos arXiv preprint arXiv:1704.04651, 2017 | 41 | 2017 |
| Psychlab: a psychology laboratory for deep reinforcement learning agents JZ Leibo, CM d'Autume, D Zoran, D Amos, C Beattie, K Anderson, ... arXiv preprint arXiv:1801.08116, 2018 | 33 | 2018 |
| A new fast accurate nonlinear medical image registration program including surface preserving regularization A Gruslys, J Acosta-Cabronero, PJ Nestor, GB Williams, RE Ansorge IEEE transactions on medical imaging 33 (11), 2118-2127, 2014 | 21 | 2014 |
| Neural replicator dynamics S Omidshafiei, D Hennes, D Morrill, R Munos, J Perolat, M Lanctot, ... arXiv preprint arXiv:1906.00190, 2019 | 13* | 2019 |
| 3000 non-rigid medical image registrations overnight on a single PC A Gruslys, S Sawiak, R Ansorge 2011 IEEE Nuclear Science Symposium Conference Record, 3073-3080, 2011 | 12 | 2011 |
| Navigating the landscape of multiplayer games S Omidshafiei, K Tuyls, WM Czarnecki, FC Santos, M Rowland, J Connor, ... Nature communications 11 (1), 1-17, 2020 | 5* | 2020 |
| The advantage regret-matching actor-critic A Gruslys, M Lanctot, R Munos, F Timbers, M Schmid, J Perolat, D Morrill, ... arXiv preprint arXiv:2008.12234, 2020 | 4 | 2020 |
| Fast Computation of Nash Equilibria in Imperfect Information Games R Munos, J Perolat, JB Lespiau, M Rowland, B De Vylder, M Lanctot, ... International Conference on Machine Learning, 7119-7129, 2020 | | 2020 |
| Navigating the Landscape of Multiplayer Games to Probe the Drosophila of AI S Omidshafiei, K Tuyls, WM Czarnecki, FC Santos, M Rowland, J Connor, ... arXiv e-prints, arXiv: 2005.01642, 2020 | | 2020 |
| Development and applications of GPU based medical image registration A Gruslys University of Cambridge, 2014 | | 2014 |
| A fast surface-aware 3D non-linear image registration algorithm implemented on a GPU A Gruslys, SS Sawiak, J Acosta-Cabronero, RE Ansorge 2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record …, 2012 | | 2012 |
| Automatic Detection and Quantification of Progressive Brain Atrophy in Dementia A Gruslys, J Acosta-Cabronero, PJ Nestor, GB Williams, RE Ansorge | | |
