Timothy P. Lillicrap
Timothy P. Lillicrap
Senior Research Scientist, Google DeepMind
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
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), 484-489, 2016
113922016
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
69432015
Mastering the game of go without human knowledge
D Silver, J Schrittwieser, K Simonyan, I Antonoglou, A Huang, A Guez, ...
nature 550 (7676), 354-359, 2017
61542017
Asynchronous methods for deep reinforcement learning
V Mnih, AP Badia, M Mirza, A Graves, TP Lillicrap, T Harley, D Silver, ...
arXiv:1602.01783, 2016
56692016
Matching networks for one shot learning
O Vinyals, C Blundell, T Lillicrap, K Kavukcuoglu, D Wierstra
arXiv preprint arXiv:1606.04080, 2016
33602016
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
17782018
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
1591*2016
Grandmaster level in StarCraft II using multi-agent reinforcement learning
O Vinyals, I Babuschkin, WM Czarnecki, M Mathieu, A Dudzik, J Chung, ...
Nature 575 (7782), 350-354, 2019
12262019
A simple neural network module for relational reasoning
A Santoro, D Raposo, DGT Barrett, M Malinowski, R Pascanu, P Battaglia, ...
arXiv preprint arXiv:1706.01427, 2017
11692017
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
11412017
Deep reinforcement learning for robotic manipulation
S Gu, E Holly, T Lillicrap, S Levine
arXiv:1610.00633, 2016
1104*2016
Continuous deep Q-learning with model-based acceleration
S Gu, T Lillicrap, I Sutskever, S Levine
ICML2016; arXiv:1603.00748 [cs.LG], 2016
8182016
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
7432010
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
5952017
Learning latent dynamics for planning from pixels
D Hafner, T Lillicrap, I Fischer, R Villegas, D Ha, H Lee, J Davidson
International Conference on Machine Learning, 2555-2565, 2019
5122019
Mastering atari, go, chess and shogi by planning with a learned model
J Schrittwieser, I Antonoglou, T Hubert, K Simonyan, L Sifre, S Schmitt, ...
Nature 588 (7839), 604-609, 2020
5082020
Random synaptic feedback weights support error backpropagation for deep learning
TP Lillicrap, D Cownden, DB Tweed, CJ Akerman
Nature communications 7 (1), 1-10, 2016
4862016
Learning continuous control policies by stochastic value gradients
N Heess, G Wayne, D Silver, T Lillicrap, Y Tassa, T Erez
arXiv preprint arXiv:1510.09142, 2015
4212015
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
3652018
Alphastar: Mastering the real-time strategy game starcraft ii
O Vinyals, I Babuschkin, J Chung, M Mathieu, M Jaderberg, ...
DeepMind blog 2, 2019
3622019
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