Max Jaderberg

Publication Activity (10 Years)

Years Active: 2014-2021
Publications (10 Years): 37

Top Topics

Reinforcement Learning

Text Recognition

Top Venues

Publications

Valentin Dalibard, Max Jaderberg
Faster Improvement Rate Population Based Training. CoRR (2021)
Open Ended Learning Team, Adam Stooke, Anuj Mahajan, Catarina Barros, Charlie Deck, Jakob Bauer, Jakub Sygnowski, Maja Trebacz, Max Jaderberg, Michaël Mathieu, Nat McAleese, Nathalie Bradley-Schmieg, Nathaniel Wong, Nicolas Porcel, Roberta Raileanu, Steph Hughes-Fitt, Valentin Dalibard, Wojciech Marian Czarnecki
Open-Ended Learning Leads to Generally Capable Agents. CoRR (2021)
Adam Stooke, Valentin Dalibard, Siddhant M. Jayakumar, Wojciech M. Czarnecki, Max Jaderberg
Perception-Prediction-Reaction Agents for Deep Reinforcement Learning. CoRR (2020)
Wojciech M. Czarnecki, Gauthier Gidel, Brendan D. Tracey, Karl Tuyls, Shayegan Omidshafiei, David Balduzzi, Max Jaderberg
Real World Games Look Like Spinning Tops. NeurIPS (2020)
Wojciech Marian Czarnecki, Gauthier Gidel, Brendan D. Tracey, Karl Tuyls, Shayegan Omidshafiei, David Balduzzi, Max Jaderberg
Real World Games Look Like Spinning Tops. CoRR (2020)
Emilio Parisotto, H. Francis Song, Jack W. Rae, Razvan Pascanu, Çaglar Gülçehre, Siddhant M. Jayakumar, Max Jaderberg, Raphaël Lopez Kaufman, Aidan Clark, Seb Noury, Matthew Botvinick, Nicolas Heess, Raia Hadsell
Stabilizing Transformers for Reinforcement Learning. ICML (2020)
David Balduzzi, Marta Garnelo, Yoram Bachrach, Wojciech M. Czarnecki, Julien Pérolat, Max Jaderberg, Thore Graepel
Open-ended Learning in Symmetric Zero-sum Games. CoRR (2019)
Ang Li, Ola Spyra, Sagi Perel, Valentin Dalibard, Max Jaderberg, Chenjie Gu, David Budden, Tim Harley, Pramod Gupta
A Generalized Framework for Population Based Training. KDD (2019)
Wojciech M. Czarnecki, Razvan Pascanu, Simon Osindero, Siddhant M. Jayakumar, Grzegorz Swirszcz, Max Jaderberg
Distilling Policy Distillation. AISTATS (2019)
Ang Li, Ola Spyra, Sagi Perel, Valentin Dalibard, Max Jaderberg, Chenjie Gu, David Budden, Tim Harley, Pramod Gupta
A Generalized Framework for Population Based Training. CoRR (2019)
David Balduzzi, Marta Garnelo, Yoram Bachrach, Wojciech Czarnecki, Julien Pérolat, Max Jaderberg, Thore Graepel
Open-ended learning in symmetric zero-sum games. ICML (2019)
Wojciech Marian Czarnecki, Simon Osindero, Razvan Pascanu, Max Jaderberg
A Deep Neural Network's Loss Surface Contains Every Low-dimensional Pattern. CoRR (2019)
Wojciech Marian Czarnecki, Razvan Pascanu, Simon Osindero, Siddhant M. Jayakumar, Grzegorz Swirszcz, Max Jaderberg
Distilling Policy Distillation. CoRR (2019)
Oriol Vinyals, Igor Babuschkin, Wojciech M. Czarnecki, Michaël Mathieu, Andrew Dudzik, Junyoung Chung, David H. Choi, Richard Powell, Timo Ewalds, Petko Georgiev, Junhyuk Oh, Dan Horgan, Manuel Kroiss, Ivo Danihelka, Aja Huang, Laurent Sifre, Trevor Cai, John P. Agapiou, Max Jaderberg, Alexander Sasha Vezhnevets, Rémi Leblond, Tobias Pohlen, Valentin Dalibard, David Budden, Yury Sulsky, James Molloy, Tom Le Paine, Çaglar Gülçehre, Ziyu Wang, Tobias Pfaff, Yuhuai Wu, Roman Ring, Dani Yogatama, Dario Wünsch, Katrina McKinney, Oliver Smith, Tom Schaul, Timothy P. Lillicrap, Koray Kavukcuoglu, Demis Hassabis, Chris Apps, David Silver
Grandmaster level in StarCraft II using multi-agent reinforcement learning. Nat. 575 (7782) (2019)
Emilio Parisotto, H. Francis Song, Jack W. Rae, Razvan Pascanu, Çaglar Gülçehre, Siddhant M. Jayakumar, Max Jaderberg, Raphael Lopez Kaufman, Aidan Clark, Seb Noury, Matthew M. Botvinick, Nicolas Heess, Raia Hadsell
Stabilizing Transformers for Reinforcement Learning. CoRR (2019)
Wojciech Marian Czarnecki, Siddhant M. Jayakumar, Max Jaderberg, Leonard Hasenclever, Yee Whye Teh, Nicolas Heess, Simon Osindero, Razvan Pascanu
Mix & Match Agent Curricula for Reinforcement Learning. ICML (2018)
Peter Sunehag, Guy Lever, Audrunas Gruslys, Wojciech Marian Czarnecki, Vinícius Flores Zambaldi, Max Jaderberg, Marc Lanctot, Nicolas Sonnerat, Joel Z. Leibo, Karl Tuyls, Thore Graepel
Value-Decomposition Networks For Cooperative Multi-Agent Learning Based On Team Reward. AAMAS (2018)
Wojciech Marian Czarnecki, Siddhant M. Jayakumar, Max Jaderberg, Leonard Hasenclever, Yee Whye Teh, Simon Osindero, Nicolas Heess, Razvan Pascanu
Mix&Match - Agent Curricula for Reinforcement Learning. CoRR (2018)
Max Jaderberg, Wojciech M. Czarnecki, Iain Dunning, Luke Marris, Guy Lever, Antonio García Castañeda, 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
Human-level performance in first-person multiplayer games with population-based deep reinforcement learning. CoRR (2018)
Max Jaderberg, Wojciech Marian Czarnecki, Simon Osindero, Oriol Vinyals, Alex Graves, David Silver, Koray Kavukcuoglu
Decoupled Neural Interfaces using Synthetic Gradients. ICML (2017)
Wojciech Marian Czarnecki, Grzegorz Swirszcz, Max Jaderberg, Simon Osindero, Oriol Vinyals, Koray Kavukcuoglu
Understanding Synthetic Gradients and Decoupled Neural Interfaces. CoRR (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
Grounded Language Learning in a Simulated 3D World. CoRR (2017)
Alexander Sasha Vezhnevets, Simon Osindero, Tom Schaul, Nicolas Heess, Max Jaderberg, David Silver, Koray Kavukcuoglu
FeUdal Networks for Hierarchical Reinforcement Learning. ICML (2017)
Wojciech Marian Czarnecki, Simon Osindero, Max Jaderberg, Grzegorz Swirszcz, Razvan Pascanu
Sobolev Training for Neural Networks. CoRR (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
Population Based Training of Neural Networks. CoRR (2017)
Peter Sunehag, Guy Lever, Audrunas Gruslys, Wojciech Marian Czarnecki, Vinícius Flores Zambaldi, Max Jaderberg, Marc Lanctot, Nicolas Sonnerat, Joel Z. Leibo, Karl Tuyls, Thore Graepel
Value-Decomposition Networks For Cooperative Multi-Agent Learning. CoRR (2017)
Wojciech M. Czarnecki, Simon Osindero, Max Jaderberg, Grzegorz Swirszcz, Razvan Pascanu
Sobolev Training for Neural Networks. NIPS (2017)
Max Jaderberg, Volodymyr Mnih, Wojciech Marian Czarnecki, Tom Schaul, Joel Z. Leibo, David Silver, Koray Kavukcuoglu
Reinforcement Learning with Unsupervised Auxiliary Tasks. ICLR (2017)
Alexander Sasha Vezhnevets, Simon Osindero, Tom Schaul, Nicolas Heess, Max Jaderberg, David Silver, Koray Kavukcuoglu
FeUdal Networks for Hierarchical Reinforcement Learning. CoRR (2017)
Wojciech Marian Czarnecki, Grzegorz Swirszcz, Max Jaderberg, Simon Osindero, Oriol Vinyals, Koray Kavukcuoglu
Understanding Synthetic Gradients and Decoupled Neural Interfaces. ICML (2017)
Max Jaderberg, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman
Reading Text in the Wild with Convolutional Neural Networks. Int. J. Comput. Vis. 116 (1) (2016)
Max Jaderberg, Wojciech Marian Czarnecki, Simon Osindero, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu
Decoupled Neural Interfaces using Synthetic Gradients. CoRR (2016)
Danilo Jimenez Rezende, S. M. Ali Eslami, Shakir Mohamed, Peter W. Battaglia, Max Jaderberg, Nicolas Heess
Unsupervised Learning of 3D Structure from Images. CoRR (2016)
Max Jaderberg, Volodymyr Mnih, Wojciech Marian Czarnecki, Tom Schaul, Joel Z. Leibo, David Silver, Koray Kavukcuoglu
Reinforcement Learning with Unsupervised Auxiliary Tasks. CoRR (2016)
Chrisantha Fernando, Dylan Banarse, Malcolm Reynolds, Frederic Besse, David Pfau, Max Jaderberg, Marc Lanctot, Daan Wierstra
Convolution by Evolution: Differentiable Pattern Producing Networks. GECCO (2016)
Danilo Jimenez Rezende, S. M. Ali Eslami, Shakir Mohamed, Peter W. Battaglia, Max Jaderberg, Nicolas Heess
Unsupervised Learning of 3D Structure from Images. NIPS (2016)
Chrisantha Fernando, Dylan Banarse, Malcolm Reynolds, Frederic Besse, David Pfau, Max Jaderberg, Marc Lanctot, Daan Wierstra
Convolution by Evolution: Differentiable Pattern Producing Networks. CoRR (2016)
Max Jaderberg, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman
Deep Structured Output Learning for Unconstrained Text Recognition. ICLR (2015)
Max Jaderberg, Karen Simonyan, Andrew Zisserman, Koray Kavukcuoglu
Spatial Transformer Networks. NIPS (2015)
Max Jaderberg, Karen Simonyan, Andrew Zisserman, Koray Kavukcuoglu
Spatial Transformer Networks. CoRR (2015)
Max Jaderberg, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman
Reading Text in the Wild with Convolutional Neural Networks. CoRR (2014)
Max Jaderberg, Andrea Vedaldi, Andrew Zisserman
Deep Features for Text Spotting. ECCV (4) (2014)
Max Jaderberg, Andrea Vedaldi, Andrew Zisserman
Speeding up Convolutional Neural Networks with Low Rank Expansions. CoRR (2014)
Max Jaderberg, Andrea Vedaldi, Andrew Zisserman
Speeding up Convolutional Neural Networks with Low Rank Expansions. BMVC (2014)
Max Jaderberg, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman
Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition. CoRR (2014)