| 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 | 21820 | 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 | 3833 | 2017 |
| A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play D Silver, T Hubert, J Schrittwieser, I Antonoglou, M Lai, A Guez, M Lanctot, ... Science 362 (6419), 1140-1144, 2018 | 2793 | 2018 |
| Frames, biases, and rational decision-making in the human brain B De Martino, D Kumaran, B Seymour, RJ Dolan Science 313 (5787), 684, 2006 | 2033 | 2006 |
| Mastering chess and shogi by self-play with a general reinforcement learning algorithm D Silver, T Hubert, J Schrittwieser, I Antonoglou, M Lai, A Guez, M Lanctot, ... arXiv preprint arXiv:1712.01815, 2017 | 1577 | 2017 |
| Patients with hippocampal amnesia cannot imagine new experiences D Hassabis, D Kumaran, SD Vann, EA Maguire Proceedings of the National Academy of Sciences 104 (5), 1726, 2007 | 1547 | 2007 |
| Neuroscience-inspired artificial intelligence D Hassabis, D Kumaran, C Summerfield, M Botvinick Neuron 95 (2), 245-258, 2017 | 1227 | 2017 |
| Using imagination to understand the neural basis of episodic memory D Hassabis, D Kumaran, EA Maguire The Journal of Neuroscience 27 (52), 14365, 2007 | 900 | 2007 |
| Learning to navigate in complex environments P Mirowski, R Pascanu, F Viola, H Soyer, AJ Ballard, A Banino, M Denil, ... arXiv preprint arXiv:1611.03673, 2016 | 787 | 2016 |
| Learning to reinforcement learn JX Wang, Z Kurth-Nelson, D Tirumala, H Soyer, JZ Leibo, R Munos, ... arXiv preprint arXiv:1611.05763, 2016 | 746 | 2016 |
| Vector-based navigation using grid-like representations in artificial agents A Banino, C Barry, B Uria, C Blundell, T Lillicrap, P Mirowski, A Pritzel, ... Nature 557 (7705), 429-433, 2018 | 514 | 2018 |
| What learning systems do intelligent agents need? Complementary learning systems theory updated D Kumaran, D Hassabis, JL McClelland Trends in cognitive sciences 20 (7), 512-534, 2016 | 508 | 2016 |
| Prefrontal cortex as a meta-reinforcement learning system JX Wang, Z Kurth-Nelson, D Kumaran, D Tirumala, H Soyer, JZ Leibo, ... Nature neuroscience 21 (6), 860-868, 2018 | 428 | 2018 |
| An unexpected sequence of events: mismatch detection in the human hippocampus D Kumaran, EA Maguire PLoS biology 4 (12), e424, 2006 | 366 | 2006 |
| Generalization through the recurrent interaction of episodic memories: a model of the hippocampal system. D Kumaran, JL McClelland Psychological review 119 (3), 573, 2012 | 334 | 2012 |
| Tracking the emergence of conceptual knowledge during human decision making D Kumaran, JJ Summerfield, D Hassabis, EA Maguire Neuron 63 (6), 889-901, 2009 | 320 | 2009 |
| Match–mismatch processes underlie human hippocampal responses to associative novelty D Kumaran, EA Maguire The Journal of neuroscience 27 (32), 8517, 2007 | 291 | 2007 |
| A genetically mediated bias in decision making driven by failure of amygdala control JP Roiser, B De Martino, GCY Tan, D Kumaran, B Seymour, NW Wood, ... Journal of Neuroscience 29 (18), 5985-5991, 2009 | 257 | 2009 |
| The human hippocampus: cognitive maps or relational memory? D Kumaran, EA Maguire The Journal of neuroscience 25 (31), 7254-7259, 2005 | 246 | 2005 |
| Novelty signals: a window into hippocampal information processing D Kumaran, EA Maguire Trends in cognitive sciences 13 (2), 47-54, 2009 | 244 | 2009 |
David SilverDeepMind, UCLVerified email at google.com
