Koray Kavukcuoglu, Ph.D.
Affiliations: | 2010 | Computer Science | New York University, New York, NY, United States |
Area:
machine learning, computational neuroscience, computer visionGoogle:
"Koray Kavukcuoglu"Mean distance: 16.81 (cluster 17) | S | N | B | C | P |
Parents
Sign in to add mentor| Yann LeCun | grad student | 2010 | NYU | |
| (Learning feature hierarchies for object recognition.) | ||||
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Publications
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| Vinyals O, Babuschkin I, Czarnecki WM, et al. (2019) Grandmaster level in StarCraft II using multi-agent reinforcement learning. Nature |
| Jaderberg M, Czarnecki WM, Dunning I, et al. (2019) Human-level performance in 3D multiplayer games with population-based reinforcement learning. Science (New York, N.Y.). 364: 859-865 |
| Eslami SMA, Jimenez Rezende D, Besse F, et al. (2018) Neural scene representation and rendering. Science (New York, N.Y.). 360: 1204-1210 |
| Banino A, Barry C, Uria B, et al. (2018) Vector-based navigation using grid-like representations in artificial agents. Nature |
| Graves A, Wayne G, Reynolds M, et al. (2016) Hybrid computing using a neural network with dynamic external memory. Nature |
| Silver D, Huang A, Maddison CJ, et al. (2016) Mastering the game of Go with deep neural networks and tree search. Nature. 529: 484-9 |
| Mnih V, Kavukcuoglu K, Silver D, et al. (2015) Human-level control through deep reinforcement learning. Nature. 518: 529-33 |
| He Y, Kavukcuoglu K, Wang Y, et al. (2014) Unsupervised feature learning by Deep Sparse Coding Siam International Conference On Data Mining 2014, Sdm 2014. 2: 902-910 |
| Mnih V, Heess N, Graves A, et al. (2014) Recurrent models of visual attention Advances in Neural Information Processing Systems. 3: 2204-2212 |
| Sermanet P, Kavukcuoglu K, Chintala S, et al. (2013) Pedestrian detection with unsupervised multi-stage feature learning Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 3626-3633 |