Dharshan Kumaran
Dharshan Kumaran
Google DeepMind
Verified email at - Homepage
Cited by
Cited by
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
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
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
Frames, biases, and rational decision-making in the human brain
B De Martino, D Kumaran, B Seymour, RJ Dolan
Science 313 (5787), 684, 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
Neuroscience-inspired artificial intelligence
D Hassabis, D Kumaran, C Summerfield, M Botvinick
Neuron 95 (2), 245-258, 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
Learning to reinforcement learn
JX Wang, Z Kurth-Nelson, D Tirumala, H Soyer, JZ Leibo, R Munos, ...
arXiv preprint arXiv:1611.05763, 2016
Using imagination to understand the neural basis of episodic memory
D Hassabis, D Kumaran, EA Maguire
The Journal of Neuroscience 27 (52), 14365, 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
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
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
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
Generalization through the recurrent interaction of episodic memories: a model of the hippocampal system.
D Kumaran, JL McClelland
Psychological review 119 (3), 573, 2012
An unexpected sequence of events: mismatch detection in the human hippocampus
D Kumaran, EA Maguire
PLoS biology 4 (12), e424, 2006
Tracking the emergence of conceptual knowledge during human decision making
D Kumaran, JJ Summerfield, D Hassabis, EA Maguire
Neuron 63 (6), 889-901, 2009
Match–mismatch processes underlie human hippocampal responses to associative novelty
D Kumaran, EA Maguire
The Journal of neuroscience 27 (32), 8517, 2007
Strong evidence for pattern separation in human dentate gyrus
D Berron, H Schütze, A Maass, A Cardenas-Blanco, HJ Kuijf, D Kumaran, ...
Journal of Neuroscience 36 (29), 7569-7579, 2016
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
The human hippocampus: cognitive maps or relational memory?
D Kumaran, EA Maguire
The Journal of neuroscience 25 (31), 7254-7259, 2005
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