| Human-level control through deep reinforcement learning V Mnih, K Kavukcuoglu, D Silver, AA Rusu, J Veness, MG Bellemare, ... nature 518 (7540), 529-533, 2015 | 13059 | 2015 |
| Overcoming catastrophic forgetting in neural networks J Kirkpatrick, R Pascanu, N Rabinowitz, J Veness, G Desjardins, AA Rusu, ... Proceedings of the national academy of sciences 114 (13), 3521-3526, 2017 | 1613 | 2017 |
| Progressive neural networks AA Rusu, NC Rabinowitz, G Desjardins, H Soyer, J Kirkpatrick, ... arXiv preprint arXiv:1606.04671, 2016 | 899 | 2016 |
| Meta-learning with latent embedding optimization AA Rusu, D Rao, J Sygnowski, O Vinyals, R Pascanu, S Osindero, ... arXiv preprint arXiv:1807.05960, 2018 | 370 | 2018 |
| Pathnet: Evolution channels gradient descent in super neural networks C Fernando, D Banarse, C Blundell, Y Zwols, D Ha, AA Rusu, A Pritzel, ... arXiv preprint arXiv:1701.08734, 2017 | 365 | 2017 |
| Sim-to-real robot learning from pixels with progressive nets AA Rusu, M Večerík, T Rothörl, N Heess, R Pascanu, R Hadsell Conference on Robot Learning, 262-270, 2017 | 316 | 2017 |
| Policy distillation AA Rusu, SG Colmenarejo, C Gulcehre, G Desjardins, J Kirkpatrick, ... arXiv preprint arXiv:1511.06295, 2015 | 315 | 2015 |
| Neural scene representation and rendering SMA Eslami, DJ Rezende, F Besse, F Viola, AS Morcos, M Garnelo, ... Science 360 (6394), 1204-1210, 2018 | 277 | 2018 |
| Imagine all the people: How the brain creates and uses personality models to predict behavior D Hassabis, RN Spreng, AA Rusu, CA Robbins, RA Mar, DL Schacter Cerebral Cortex 24 (8), 1979-1987, 2014 | 208 | 2014 |
| Darla: Improving zero-shot transfer in reinforcement learning I Higgins, A Pal, AA Rusu, L Matthey, CP Burgess, A Pritzel, M Botvinick, ... arXiv preprint arXiv:1707.08475, 2017 | 203 | 2017 |
| Reinforcement and imitation learning for diverse visuomotor skills Y Zhu, Z Wang, J Merel, A Rusu, T Erez, S Cabi, S Tunyasuvunakool, ... arXiv preprint arXiv:1802.09564, 2018 | 146 | 2018 |
| HyperNEAT for locomotion control in modular robots E Haasdijk, AA Rusu, AE Eiben International Conference on Evolvable Systems, 169-180, 2010 | 59 | 2010 |
| & Petersen, S.(2015). Human-level control through deep reinforcement learning V Mnih, K Kavukcuoglu, D Silver, AA Rusu, J Veness, MG Bellemare Nature 518 (7540), 529, 0 | 44 | |
| Meta-learning with warped gradient descent S Flennerhag, AA Rusu, R Pascanu, F Visin, H Yin, R Hadsell arXiv preprint arXiv:1909.00025, 2019 | 37 | 2019 |
| Continual unsupervised representation learning D Rao, F Visin, A Rusu, R Pascanu, YW Teh, R Hadsell Advances in Neural Information Processing Systems, 7647-7657, 2019 | 34 | 2019 |
| Meta-learning by the baldwin effect C Fernando, J Sygnowski, S Osindero, J Wang, T Schaul, D Teplyashin, ... Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018 | 28 | 2018 |
| Task agnostic continual learning via meta learning X He, J Sygnowski, A Galashov, AA Rusu, YW Teh, R Pascanu arXiv preprint arXiv:1906.05201, 2019 | 19 | 2019 |
| Method and apparatus for characterizing an image M Suleyman, BK Coppin, M Barwinski, A Nair, AA Rusu, CYC Chu US Patent 8,873,838, 2014 | 14 | 2014 |
| Reply to Huszár: The elastic weight consolidation penalty is empirically valid J Kirkpatrick, R Pascanu, N Rabinowitz, J Veness, G Desjardins, AA Rusu, ... Proceedings of the National Academy of Sciences 115 (11), E2498-E2498, 2018 | 11 | 2018 |
| Rank distance aggregation as a fixed classifier combining rule for text categorization LP Dinu, A Rusu International Conference on Intelligent Text Processing and Computational …, 2010 | 6 | 2010 |
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