Volodymyr Mnih
Volodymyr Mnih
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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
Playing Atari with Deep Reinforcement Learning
V Mnih, K Kavukcuoglu, D Silver, A Graves, I Antonoglou, D Wierstra, ...
arXiv preprint arXiv:1312.5602, 2013
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
Recurrent Models of Visual Attention
V Mnih, N Heess, A Graves, K Kavukcuoglu
Advances in Neural Information Processing Systems, 2204-2212, 2014
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
Reinforcement learning with unsupervised auxiliary tasks
M Jaderberg, V Mnih, WM Czarnecki, T Schaul, JZ Leibo, D Silver, ...
arXiv preprint arXiv:1611.05397, 2016
Multiple Object Recognition with Visual Attention
J Ba, V Mnih, K Kavukcuoglu
arXiv preprint arXiv:1412.7755, 2014
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
Machine Learning for Aerial Image Labeling
V Mnih
University of Toronto, 2013
Learning to detect roads in high-resolution aerial images
V Mnih, GE Hinton
European Conference on Computer Vision, 210-223, 2010
Policy Distillation
AA Rusu, SG Colmenarejo, C Gulcehre, G Desjardins, J Kirkpatrick, ...
arXiv preprint arXiv:1511.06295, 2015
Noisy networks for exploration
M Fortunato, MG Azar, B Piot, J Menick, I Osband, A Graves, V Mnih, ...
arXiv preprint arXiv:1706.10295, 2017
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
Learning to Label Aerial Images from Noisy Data
V Mnih, GE Hinton
Proceedings of the 29th International Conference on Machine Learning (ICML …, 2012
Learning by Playing-Solving Sparse Reward Tasks from Scratch
M Riedmiller, R Hafner, T Lampe, M Neunert, J Degrave, T Van de Wiele, ...
arXiv preprint arXiv:1802.10567, 2018
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
Empirical bernstein stopping
V Mnih, C Szepesvári, JY Audibert
Proceedings of the 25th international conference on Machine learning, 672-679, 2008
Using Fast Weights to Attend to the Recent Past
J Ba, GE Hinton, V Mnih, JZ Leibo, C Ionescu
Advances In Neural Information Processing Systems, 4331-4339, 2016
The Uncertainty Bellman Equation and Exploration
B O'Donoghue, I Osband, R Munos, V Mnih
arXiv preprint arXiv:1709.05380, 2017
Unsupervised learning of object keypoints for perception and control
TD Kulkarni, A Gupta, C Ionescu, S Borgeaud, M Reynolds, A Zisserman, ...
Advances in neural information processing systems 32, 10724-10734, 2019
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