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Max Jaderberg

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Faster Improvement Rate Population Based Training

Sep 28, 2021
Valentin Dalibard, Max Jaderberg

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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

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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

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