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MetNet: A Neural Weather Model for Precipitation Forecasting

Mar 30, 2020
Casper Kaae Sønderby, Lasse Espeholt, Jonathan Heek, Mostafa Dehghani, Avital Oliver, Tim Salimans, Shreya Agrawal, Jason Hickey, Nal Kalchbrenner


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SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference

Oct 15, 2019
Lasse Espeholt, Raphaël Marinier, Piotr Stanczyk, Ke Wang, Marcin Michalski


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Google Research Football: A Novel Reinforcement Learning Environment

Jul 25, 2019
Karol Kurach, Anton Raichuk, Piotr Stańczyk, Michał Zając, Olivier Bachem, Lasse Espeholt, Carlos Riquelme, Damien Vincent, Marcin Michalski, Olivier Bousquet, Sylvain Gelly


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Multi-task Deep Reinforcement Learning with PopArt

Sep 12, 2018
Matteo Hessel, Hubert Soyer, Lasse Espeholt, Wojciech Czarnecki, Simon Schmitt, Hado van Hasselt


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IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Jun 28, 2018
Lasse Espeholt, Hubert Soyer, Remi Munos, Karen Simonyan, Volodymir Mnih, Tom Ward, Yotam Doron, Vlad Firoiu, Tim Harley, Iain Dunning, Shane Legg, Koray Kavukcuoglu


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Neural Machine Translation in Linear Time

Mar 15, 2017
Nal Kalchbrenner, Lasse Espeholt, Karen Simonyan, Aaron van den Oord, Alex Graves, Koray Kavukcuoglu

* 9 pages 

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Conditional Image Generation with PixelCNN Decoders

Jun 18, 2016
Aaron van den Oord, Nal Kalchbrenner, Oriol Vinyals, Lasse Espeholt, Alex Graves, Koray Kavukcuoglu


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Teaching Machines to Read and Comprehend

Nov 19, 2015
Karl Moritz Hermann, Tomáš Kočiský, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, Phil Blunsom

* Appears in: Advances in Neural Information Processing Systems 28 (NIPS 2015). 14 pages, 13 figures 

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