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Spectral Inference Networks: Unifying Spectral Methods With Deep Learning


Jun 06, 2018
David Pfau, Stig Petersen, Ashish Agarwal, David Barrett, Kim Stachenfeld


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StarCraft II: A New Challenge for Reinforcement Learning


Aug 16, 2017
Oriol Vinyals, Timo Ewalds, Sergey Bartunov, Petko Georgiev, Alexander Sasha Vezhnevets, Michelle Yeo, Alireza Makhzani, Heinrich Küttler, John Agapiou, Julian Schrittwieser, John Quan, Stephen Gaffney, Stig Petersen, Karen Simonyan, Tom Schaul, Hado van Hasselt, David Silver, Timothy Lillicrap, Kevin Calderone, Paul Keet, Anthony Brunasso, David Lawrence, Anders Ekermo, Jacob Repp, Rodney Tsing

* Collaboration between DeepMind & Blizzard. 20 pages, 9 figures, 2 tables 

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DeepMind Lab


Dec 13, 2016
Charles Beattie, Joel Z. Leibo, Denis Teplyashin, Tom Ward, Marcus Wainwright, Heinrich Küttler, Andrew Lefrancq, Simon Green, Víctor Valdés, Amir Sadik, Julian Schrittwieser, Keith Anderson, Sarah York, Max Cant, Adam Cain, Adrian Bolton, Stephen Gaffney, Helen King, Demis Hassabis, Shane Legg, Stig Petersen

* 11 pages, 8 figures 

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Massively Parallel Methods for Deep Reinforcement Learning


Jul 16, 2015
Arun Nair, Praveen Srinivasan, Sam Blackwell, Cagdas Alcicek, Rory Fearon, Alessandro De Maria, Vedavyas Panneershelvam, Mustafa Suleyman, Charles Beattie, Stig Petersen, Shane Legg, Volodymyr Mnih, Koray Kavukcuoglu, David Silver

* Presented at the Deep Learning Workshop, International Conference on Machine Learning, Lille, France, 2015 

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