Timothy P. Lillicrap
Timothy P. Lillicrap
Senior Research Scientist, Google DeepMind
Verified email at google.com - Homepage
TitleCited byYear
Mastering the game of Go with deep neural networks and tree search
D Silver, A Huang, CJ Maddison, A Guez, L Sifre, G Van Den Driessche, ...
nature 529 (7587), 484, 2016
58372016
Mastering the game of go without human knowledge
D Silver, J Schrittwieser, K Simonyan, I Antonoglou, A Huang, A Guez, ...
Nature 550 (7676), 354, 2017
22832017
Continuous control with deep reinforcement learning
TP Lillicrap, JJ Hunt, A Pritzel, N Heess, T Erez, Y Tassa, D Silver, ...
ICLR 2016; arXiv preprint arXiv:1509.02971, 2015
22542015
Asynchronous methods for deep reinforcement learning
V Mnih, AP Badia, M Mirza, A Graves, TP Lillicrap, T Harley, D Silver, ...
arXiv:1602.01783, 2016
22032016
Matching networks for one shot learning
O Vinyals, C Blundell, T Lillicrap, K Kavukcuoglu, D Wierstra
arXiv preprint arXiv:1606.04080, 2016
8862016
Meta-learning with memory-augmented neural networks
A Santoro, S Bartunov, M Botvinick, D Wierstra, T Lillicrap
International conference on machine learning, 1842-1850, 2016
568*2016
Why copy others? Insights from the social learning strategies tournament
L Rendell, R Boyd, D Cownden, M Enquist, K Eriksson, MW Feldman, ...
Science 328 (5975), 208-213, 2010
5472010
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
4522017
A simple neural network module for relational reasoning
A Santoro, D Raposo, DG Barrett, M Malinowski, R Pascanu, P Battaglia, ...
Advances in neural information processing systems, 4967-4976, 2017
4322017
Deep reinforcement learning for robotic manipulation
S Gu, E Holly, T Lillicrap, S Levine
arXiv:1610.00633, 2016
379*2016
Continuous deep Q-learning with model-based acceleration
S Gu, T Lillicrap, I Sutskever, S Levine
ICML2016; arXiv:1603.00748 [cs.LG], 2016
3732016
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
2582018
Random synaptic feedback weights support error backpropagation for deep learning
TP Lillicrap, D Cownden, DB Tweed, CJ Akerman
Nature communications 7, 13276, 2016
2182016
Learning continuous control policies by stochastic value gradients
N Heess, G Wayne, D Silver, T Lillicrap, T Erez, Y Tassa
Advances in Neural Information Processing Systems, 2944-2952, 2015
2072015
Starcraft ii: A new challenge for reinforcement learning
O Vinyals, T Ewalds, S Bartunov, P Georgiev, AS Vezhnevets, M Yeo, ...
arXiv preprint arXiv:1708.04782, 2017
2022017
Q-prop: Sample-efficient policy gradient with an off-policy critic
S Gu, T Lillicrap, Z Ghahramani, RE Turner, S Levine
arXiv preprint arXiv:1611.02247, 2016
1532016
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, 2018
1312018
Deep reinforcement learning in large discrete action spaces
G Dulac-Arnold, R Evans, H van Hasselt, P Sunehag, T Lillicrap, J Hunt, ...
arXiv:1512.07679, 2016
962016
Towards deep learning with segregated dendrites
J Guerguiev, TP Lillicrap, BA Richards
ELife 6, e22901, 2017
942017
Learning to learn without gradient descent by gradient descent
Y Chen, MW Hoffman, SG Colmenarejo, M Denil, TP Lillicrap, M Botvinick, ...
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
84*2017
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Articles 1–20