| 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 | 27013 | 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 | 5731 | 2017 |
| Progressive neural networks AA Rusu, NC Rabinowitz, G Desjardins, H Soyer, J Kirkpatrick, ... arXiv preprint arXiv:1606.04671, 2016 | 2438 | 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 | 1402 | 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 | 862 | 2017 |
| Policy distillation AA Rusu, SG Colmenarejo, C Gulcehre, G Desjardins, J Kirkpatrick, ... arXiv preprint arXiv:1511.06295, 2015 | 686 | 2015 |
| Neural scene representation and rendering SMA Eslami, D Jimenez Rezende, F Besse, F Viola, AS Morcos, ... Science 360 (6394), 1204-1210, 2018 | 650 | 2018 |
| 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 | 590 | 2017 |
| Darla: Improving zero-shot transfer in reinforcement learning I Higgins, A Pal, A Rusu, L Matthey, C Burgess, A Pritzel, M Botvinick, ... International Conference on Machine Learning, 1480-1490, 2017 | 453 | 2017 |
| Embracing change: Continual learning in deep neural networks R Hadsell, D Rao, AA Rusu, R Pascanu Trends in cognitive sciences 24 (12), 1028-1040, 2020 | 331 | 2020 |
| 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 | 316 | 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 | 292 | 2014 |
| Continual unsupervised representation learning D Rao, F Visin, A Rusu, R Pascanu, YW Teh, R Hadsell Advances in neural information processing systems 32, 2019 | 239 | 2019 |
| Meta-learning with warped gradient descent S Flennerhag, AA Rusu, R Pascanu, F Visin, H Yin, R Hadsell arXiv preprint arXiv:1909.00025, 2019 | 215 | 2019 |
| 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 | 106 | 2019 |
| & 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 | 81 | |
| Progressive neural networks. arXiv 2016 AA Rusu, NC Rabinowitz, G Desjardins, H Soyer, J Kirkpatrick, ... arXiv preprint arXiv:1606.04671, 2016 | 74 | 2016 |
| Hyperneat for locomotion control in modular robots E Haasdijk, AA Rusu, AE Eiben Evolvable Systems: From Biology to Hardware: 9th International Conference …, 2010 | 73 | 2010 |
| & Hassabis, D.(2015) V Mnih, K Kavukcuoglu, D Silver, AA Rusu, J Veness, MG Bellemare Human-level control through deep reinforcement learning. nature 518 (7540 …, 0 | 53 | |
| 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 | 45 | 2018 |
