Volodymyr Mnih
Volodymyr Mnih
DeepMind
Verified email at cs.toronto.edu - Homepage
TitleCited byYear
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
59102015
Playing Atari with Deep Reinforcement Learning
V Mnih, K Kavukcuoglu, D Silver, A Graves, I Antonoglou, D Wierstra, ...
arXiv preprint arXiv:1312.5602, 2013
24712013
Asynchronous methods for deep reinforcement learning
V Mnih, AP Badia, M Mirza, A Graves, T Lillicrap, T Harley, D Silver, ...
International Conference on Machine Learning, 1928-1937, 2016
17842016
Recurrent Models of Visual Attention
V Mnih, N Heess, A Graves, K Kavukcuoglu
Advances in Neural Information Processing Systems, 2204-2212, 2014
11362014
Multiple Object Recognition with Visual Attention
J Ba, V Mnih, K Kavukcuoglu
arXiv preprint arXiv:1412.7755, 2014
4942014
Reinforcement learning with unsupervised auxiliary tasks
M Jaderberg, V Mnih, WM Czarnecki, T Schaul, JZ Leibo, D Silver, ...
arXiv preprint arXiv:1611.05397, 2016
3512016
Learning to detect roads in high-resolution aerial images
V Mnih, GE Hinton
European Conference on Computer Vision, 210-223, 2010
3042010
Learning to Label Aerial Images from Noisy Data
V Mnih, GE Hinton
Proceedings of the 29th International Conference on Machine Learning (ICML …, 2012
2092012
Machine Learning for Aerial Image Labeling
V Mnih
University of Toronto, 2013
1942013
On deep generative models with applications to recognition
MA Ranzato, J Susskind, V Mnih, G Hinton
Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on …, 2011
1882011
Massively Parallel Methods for Deep Reinforcement Learning
A Nair, P Srinivasan, S Blackwell, C Alcicek, R Fearon, A De Maria, ...
arXiv preprint arXiv:1507.04296, 2015
1862015
Sample Efficient Actor-Critic with Experience Replay
Z Wang, V Bapst, N Heess, V Mnih, R Munos, K Kavukcuoglu, ...
arXiv preprint arXiv:1611.01224, 2016
1802016
Empirical bernstein stopping
V Mnih, C Szepesvári, JY Audibert
Proceedings of the 25th international conference on Machine learning, 672-679, 2008
1642008
IMPALA: Scalable distributed Deep-RL with importance weighted actor-learner architectures
L Espeholt, H Soyer, R Munos, K Simonyan, V Mnih, T Ward, Y Doron, ...
arXiv preprint arXiv:1802.01561, 2018
1432018
Noisy networks for exploration
M Fortunato, MG Azar, B Piot, J Menick, I Osband, A Graves, V Mnih, ...
arXiv preprint arXiv:1706.10295, 2017
1362017
Policy Distillation
AA Rusu, SG Colmenarejo, C Gulcehre, G Desjardins, J Kirkpatrick, ...
arXiv preprint arXiv:1511.06295, 2015
1352015
Conditional Restricted Boltzmann Machines for Structured Output Prediction
V Mnih, H Larochelle, GE Hinton
The 27th Conference on Uncertainty in Artificial Intelligence, 2011
1072011
Strategic Attentive Writer for Learning Macro-Actions
AS Vezhnevets, V Mnih, J Agapiou, S Osindero, A Graves, O Vinyals, ...
arXiv preprint arXiv:1606.04695, 2016
83*2016
Generating more realistic images using gated mrf’s
M Ranzato, V Mnih, GE Hinton
NIPS 2858, 2859-2860, 2010
75*2010
Combining policy gradient and Q-learning
B O'Donoghue, R Munos, K Kavukcuoglu, V Mnih
arXiv preprint arXiv:1611.01626, 2016
742016
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