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Charles Blundell
Charles Blundell
Research Scientist at DeepMind
Verified email at google.com
Title
Cited by
Cited by
Year
Matching networks for one shot learning
O Vinyals, C Blundell, T Lillicrap, D Wierstra
Advances in neural information processing systems 29, 2016
44882016
Simple and scalable predictive uncertainty estimation using deep ensembles
B Lakshminarayanan, A Pritzel, C Blundell
Advances in neural information processing systems 30, 2017
27712017
Weight uncertainty in neural network
C Blundell, J Cornebise, K Kavukcuoglu, D Wierstra
International conference on machine learning, 1613-1622, 2015
23232015
Deep exploration via bootstrapped DQN
I Osband, C Blundell, A Pritzel, B Van Roy
Advances in neural information processing systems 29, 2016
9752016
Learning to reinforcement learn
JX Wang, Z Kurth-Nelson, D Tirumala, H Soyer, JZ Leibo, R Munos, ...
arXiv preprint arXiv:1611.05763, 2016
6642016
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
5702017
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
4472018
Noisy networks for exploration
M Fortunato, MG Azar, B Piot, J Menick, I Osband, A Graves, V Mnih, ...
arXiv preprint arXiv:1706.10295, 2017
4392017
Reinforcement learning, fast and slow
M Botvinick, S Ritter, JX Wang, Z Kurth-Nelson, C Blundell, D Hassabis
Trends in cognitive sciences 23 (5), 408-422, 2019
3542019
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
3342017
Agent57: Outperforming the atari human benchmark
AP Badia, B Piot, S Kapturowski, P Sprechmann, A Vitvitskyi, ZD Guo, ...
International Conference on Machine Learning, 507-517, 2020
2692020
Neural episodic control
A Pritzel, B Uria, S Srinivasan, AP Badia, O Vinyals, D Hassabis, ...
International Conference on Machine Learning, 2827-2836, 2017
2682017
Deep AutoRegressive Networks
K Gregor, I Danihelka, A Mnih, C Blundell, D Wierstra
Proceedings of the 31st International Conference on Machine Learning (ICML …, 2014
2532014
Model-free episodic control
C Blundell, B Uria, A Pritzel, Y Li, A Ruderman, JZ Leibo, J Rae, ...
arXiv preprint arXiv:1606.04460, 2016
225*2016
Modelling reciprocating relationships with Hawkes processes
C Blundell, J Beck, KA Heller
Advances in neural information processing systems 25, 2012
2132012
Bayesian recurrent neural networks
M Fortunato, C Blundell, O Vinyals
arXiv preprint arXiv:1704.02798, 2017
1892017
Early visual concept learning with unsupervised deep learning
I Higgins, L Matthey, X Glorot, A Pal, B Uria, C Blundell, S Mohamed, ...
arXiv preprint arXiv:1606.05579, 2016
1572016
Never give up: Learning directed exploration strategies
AP Badia, P Sprechmann, A Vitvitskyi, D Guo, B Piot, S Kapturowski, ...
arXiv preprint arXiv:2002.06038, 2020
1162020
Computations underlying social hierarchy learning: distinct neural mechanisms for updating and representing self-relevant information
D Kumaran, A Banino, C Blundell, D Hassabis, P Dayan
Neuron 92 (5), 1135-1147, 2016
1052016
Bayesian rose trees
C Blundell, YW Teh, KA Heller
Uncertainty in Artificial Intelligence, 2010
1002010
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Articles 1–20