Max Jaderberg

According to our database, Max Jaderberg authored at least 30 papers between 2014 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Faster Improvement Rate Population Based Training.

Valentin Dalibard, Max Jaderberg

CoRR, 2021

Open-Ended Learning Leads to Generally Capable Agents.

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

CoRR, 2021

2020

Perception-Prediction-Reaction Agents for Deep Reinforcement Learning.

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

CoRR, 2020

Real World Games Look Like Spinning Tops.

Wojciech M. Czarnecki, Gauthier Gidel, Brendan D. Tracey, Karl Tuyls, Shayegan Omidshafiei, David Balduzzi, Max Jaderberg

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Stabilizing Transformers for Reinforcement Learning.

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 M. Botvinick, Nicolas Heess, Raia Hadsell

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Grandmaster level in StarCraft II using multi-agent reinforcement learning.

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

Nat., 2019

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

Wojciech Marian Czarnecki, Simon Osindero, Razvan Pascanu, Max Jaderberg

CoRR, 2019

A Generalized Framework for Population Based Training.

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

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Open-ended learning in symmetric zero-sum games.

David Balduzzi, Marta Garnelo, Yoram Bachrach, Wojciech Czarnecki, Julien Pérolat, Max Jaderberg, Thore Graepel

Proceedings of the 36th International Conference on Machine Learning, 2019

Distilling Policy Distillation.

Wojciech M. Czarnecki, Razvan Pascanu, Simon Osindero, Siddhant M. Jayakumar, Grzegorz Swirszcz, Max Jaderberg

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

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

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

CoRR, 2018

Mix & Match Agent Curricula for Reinforcement Learning.

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

Proceedings of the 35th International Conference on Machine Learning, 2018

Value-Decomposition Networks For Cooperative Multi-Agent Learning Based On Team Reward.

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

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017

Population Based Training of Neural Networks.

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

CoRR, 2017

Value-Decomposition Networks For Cooperative Multi-Agent Learning.

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

CoRR, 2017

Grounded Language Learning in a Simulated 3D World.

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

CoRR, 2017

Sobolev Training for Neural Networks.

Wojciech M. Czarnecki, Simon Osindero, Max Jaderberg, Grzegorz Swirszcz, Razvan Pascanu

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

FeUdal Networks for Hierarchical Reinforcement Learning.

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

Proceedings of the 34th International Conference on Machine Learning, 2017

Decoupled Neural Interfaces using Synthetic Gradients.

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

Proceedings of the 34th International Conference on Machine Learning, 2017

Understanding Synthetic Gradients and Decoupled Neural Interfaces.

Wojciech Marian Czarnecki, Grzegorz Swirszcz, Max Jaderberg, Simon Osindero, Oriol Vinyals, Koray Kavukcuoglu

Proceedings of the 34th International Conference on Machine Learning, 2017

Reinforcement Learning with Unsupervised Auxiliary Tasks.

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

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Reading Text in the Wild with Convolutional Neural Networks.

Max Jaderberg, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman

Int. J. Comput. Vis., 2016

Decoupled Neural Interfaces using Synthetic Gradients.

Max Jaderberg, Wojciech Marian Czarnecki, Simon Osindero, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu

CoRR, 2016

Unsupervised Learning of 3D Structure from Images.

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

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Convolution by Evolution: Differentiable Pattern Producing Networks.

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

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

2015

Deep Structured Output Learning for Unconstrained Text Recognition.

Max Jaderberg, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman

Proceedings of the 3rd International Conference on Learning Representations, 2015

Spatial Transformer Networks.

Max Jaderberg, Karen Simonyan, Andrew Zisserman, Koray Kavukcuoglu

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition.

Max Jaderberg, Karen Simonyan, Andrea Vedaldi, Andrew Zisserman

CoRR, 2014

Deep Features for Text Spotting.

Max Jaderberg, Andrea Vedaldi, Andrew Zisserman

Proceedings of the Computer Vision - ECCV 2014, 2014

Speeding up Convolutional Neural Networks with Low Rank Expansions.

Max Jaderberg, Andrea Vedaldi, Andrew Zisserman

Proceedings of the British Machine Vision Conference, 2014