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Koray Kavukcuoglu

Showing results (1-10 of 14) with videos related to

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Science (New York, N.Y.)|June 1, 2019
Human-level performance in 3D multiplayer games with population-based reinforcement learningMax Jaderberg, Wojciech M Czarnecki, Iain Dunning, et al.
Nature|February 27, 2015
Human-level control through deep reinforcement learningVolodymyr Mnih, Koray Kavukcuoglu, David Silver, et al.
Nature|January 29, 2016
Mastering the game of Go with deep neural networks and tree searchDavid Silver, Aja Huang, Chris J Maddison, et al.
Nature|January 17, 2020
Improved protein structure prediction using potentials from deep learningAndrew W Senior, Richard Evans, John Jumper, et al.
Proteins|October 12, 2019
Protein structure prediction using multiple deep neural networks in the 13th Critical Assessment of Protein Structure Prediction (CASP13)Andrew W Senior, Richard Evans, John Jumper, et al.
Nature|October 13, 2016
Hybrid computing using a neural network with dynamic external memoryAlex Graves, Greg Wayne, Malcolm Reynolds, et al.
Science (New York, N.Y.)|June 16, 2018
Neural scene representation and renderingS M Ali Eslami, Danilo Jimenez Rezende, Frederic Besse, et al.
Nature|May 11, 2018
Vector-based navigation using grid-like representations in artificial agentsAndrea Banino, Caswell Barry, Benigno Uria, et al.
Science (New York, N.Y.)|December 8, 2022
Competition-level code generation with AlphaCodeYujia Li, David Choi, Junyoung Chung, et al.
Nature|February 17, 2022
Magnetic control of tokamak plasmas through deep reinforcement learningJonas Degrave, Federico Felici, Jonas Buchli, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Science (New York, N.Y.)|June 1, 2019
Human-level performance in 3D multiplayer games with population-based reinforcement learningMax Jaderberg, Wojciech M Czarnecki, Iain Dunning, et al.
Nature|February 27, 2015
Human-level control through deep reinforcement learningVolodymyr Mnih, Koray Kavukcuoglu, David Silver, et al.
Nature|January 29, 2016
Mastering the game of Go with deep neural networks and tree searchDavid Silver, Aja Huang, Chris J Maddison, et al.
Nature|January 17, 2020
Improved protein structure prediction using potentials from deep learningAndrew W Senior, Richard Evans, John Jumper, et al.
Proteins|October 12, 2019
Protein structure prediction using multiple deep neural networks in the 13th Critical Assessment of Protein Structure Prediction (CASP13)Andrew W Senior, Richard Evans, John Jumper, et al.
Nature|October 13, 2016
Hybrid computing using a neural network with dynamic external memoryAlex Graves, Greg Wayne, Malcolm Reynolds, et al.
Science (New York, N.Y.)|June 16, 2018
Neural scene representation and renderingS M Ali Eslami, Danilo Jimenez Rezende, Frederic Besse, et al.
Nature|May 11, 2018
Vector-based navigation using grid-like representations in artificial agentsAndrea Banino, Caswell Barry, Benigno Uria, et al.
Science (New York, N.Y.)|December 8, 2022
Competition-level code generation with AlphaCodeYujia Li, David Choi, Junyoung Chung, et al.
Nature|February 17, 2022
Magnetic control of tokamak plasmas through deep reinforcement learningJonas Degrave, Federico Felici, Jonas Buchli, et al.
Pageof 2