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Faster Improvement Rate Population Based Training


Sep 28, 2021
Valentin Dalibard, Max Jaderberg

* 9 pages, 5 figures 

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Open-Ended Learning Leads to Generally Capable Agents


Jul 31, 2021
Open Ended Learning Team, Adam Stooke, Anuj Mahajan, Catarina Barros, Charlie Deck, Jakob Bauer, Jakub Sygnowski, Maja Trebacz, Max Jaderberg, Michael Mathieu, Nat McAleese, Nathalie Bradley-Schmieg, Nathaniel Wong, Nicolas Porcel, Roberta Raileanu, Steph Hughes-Fitt, Valentin Dalibard, Wojciech Marian Czarnecki


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Perception-Prediction-Reaction Agents for Deep Reinforcement Learning


Jun 26, 2020
Adam Stooke, Valentin Dalibard, Siddhant M. Jayakumar, Wojciech M. Czarnecki, Max Jaderberg


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Real World Games Look Like Spinning Tops


Apr 20, 2020
Wojciech Marian Czarnecki, Gauthier Gidel, Brendan Tracey, Karl Tuyls, Shayegan Omidshafiei, David Balduzzi, Max Jaderberg


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A Deep Neural Network's Loss Surface Contains Every Low-dimensional Pattern


Jan 02, 2020
Wojciech Marian Czarnecki, Simon Osindero, Razvan Pascanu, Max Jaderberg


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Stabilizing Transformers for Reinforcement Learning


Oct 13, 2019
Emilio Parisotto, H. Francis Song, Jack W. Rae, Razvan Pascanu, Caglar Gulcehre, Siddhant M. Jayakumar, Max Jaderberg, Raphael Lopez Kaufman, Aidan Clark, Seb Noury, Matthew M. Botvinick, Nicolas Heess, Raia Hadsell


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Distilling Policy Distillation


Feb 06, 2019
Wojciech Marian Czarnecki, Razvan Pascanu, Simon Osindero, Siddhant M. Jayakumar, Grzegorz Swirszcz, Max Jaderberg

* Accepted at AISTATS 2019 

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A Generalized Framework for Population Based Training


Feb 05, 2019
Ang Li, Ola Spyra, Sagi Perel, Valentin Dalibard, Max Jaderberg, Chenjie Gu, David Budden, Tim Harley, Pramod Gupta

* 9 pages 

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Open-ended Learning in Symmetric Zero-sum Games


Jan 23, 2019
David Balduzzi, Marta Garnelo, Yoram Bachrach, Wojciech M. Czarnecki, Julien Perolat, Max Jaderberg, Thore Graepel

* 18 pages, 7 figures 

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Human-level performance in first-person multiplayer games with population-based deep reinforcement learning


Jul 03, 2018
Max Jaderberg, Wojciech M. Czarnecki, Iain Dunning, Luke Marris, Guy Lever, Antonio Garcia Castaneda, Charles Beattie, Neil C. Rabinowitz, Ari S. Morcos, Avraham Ruderman, Nicolas Sonnerat, Tim Green, Louise Deason, Joel Z. Leibo, David Silver, Demis Hassabis, Koray Kavukcuoglu, Thore Graepel


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Unsupervised Learning of 3D Structure from Images


Jun 19, 2018
Danilo Jimenez Rezende, S. M. Ali Eslami, Shakir Mohamed, Peter Battaglia, Max Jaderberg, Nicolas Heess

* Appears in Advances in Neural Information Processing Systems 29 (NIPS 2016) 

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Mix&Match - Agent Curricula for Reinforcement Learning


Jun 05, 2018
Wojciech Marian Czarnecki, Siddhant M. Jayakumar, Max Jaderberg, Leonard Hasenclever, Yee Whye Teh, Simon Osindero, Nicolas Heess, Razvan Pascanu

* ICML 2018 

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Population Based Training of Neural Networks


Nov 28, 2017
Max Jaderberg, Valentin Dalibard, Simon Osindero, Wojciech M. Czarnecki, Jeff Donahue, Ali Razavi, Oriol Vinyals, Tim Green, Iain Dunning, Karen Simonyan, Chrisantha Fernando, Koray Kavukcuoglu


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Sobolev Training for Neural Networks


Jul 26, 2017
Wojciech Marian Czarnecki, Simon Osindero, Max Jaderberg, Grzegorz Świrszcz, Razvan Pascanu


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Decoupled Neural Interfaces using Synthetic Gradients


Jul 03, 2017
Max Jaderberg, Wojciech Marian Czarnecki, Simon Osindero, Oriol Vinyals, Alex Graves, David Silver, Koray Kavukcuoglu


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Grounded Language Learning in a Simulated 3D World


Jun 26, 2017
Karl Moritz Hermann, Felix Hill, Simon Green, Fumin Wang, Ryan Faulkner, Hubert Soyer, David Szepesvari, Wojciech Marian Czarnecki, Max Jaderberg, Denis Teplyashin, Marcus Wainwright, Chris Apps, Demis Hassabis, Phil Blunsom

* 16 pages, 8 figures 

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Value-Decomposition Networks For Cooperative Multi-Agent Learning


Jun 16, 2017
Peter Sunehag, Guy Lever, Audrunas Gruslys, Wojciech Marian Czarnecki, Vinicius Zambaldi, Max Jaderberg, Marc Lanctot, Nicolas Sonnerat, Joel Z. Leibo, Karl Tuyls, Thore Graepel


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FeUdal Networks for Hierarchical Reinforcement Learning


Mar 06, 2017
Alexander Sasha Vezhnevets, Simon Osindero, Tom Schaul, Nicolas Heess, Max Jaderberg, David Silver, Koray Kavukcuoglu


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Understanding Synthetic Gradients and Decoupled Neural Interfaces


Mar 01, 2017
Wojciech Marian Czarnecki, Grzegorz Świrszcz, Max Jaderberg, Simon Osindero, Oriol Vinyals, Koray Kavukcuoglu


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Reinforcement Learning with Unsupervised Auxiliary Tasks


Nov 16, 2016
Max Jaderberg, Volodymyr Mnih, Wojciech Marian Czarnecki, Tom Schaul, Joel Z Leibo, David Silver, Koray Kavukcuoglu


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Convolution by Evolution: Differentiable Pattern Producing Networks


Jun 08, 2016
Chrisantha Fernando, Dylan Banarse, Malcolm Reynolds, Frederic Besse, David Pfau, Max Jaderberg, Marc Lanctot, Daan Wierstra


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Spatial Transformer Networks


Feb 04, 2016
Max Jaderberg, Karen Simonyan, Andrew Zisserman, Koray Kavukcuoglu


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Deep Structured Output Learning for Unconstrained Text Recognition


Apr 10, 2015
Max Jaderberg, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman

* arXiv admin note: text overlap with arXiv:1406.2227 

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Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition


Dec 09, 2014
Max Jaderberg, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman


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Reading Text in the Wild with Convolutional Neural Networks


Dec 04, 2014
Max Jaderberg, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman


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Speeding up Convolutional Neural Networks with Low Rank Expansions


May 15, 2014
Max Jaderberg, Andrea Vedaldi, Andrew Zisserman


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