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Rapid training of deep neural networks without skip connections or normalization layers using Deep Kernel Shaping


Oct 05, 2021
James Martens, Andy Ballard, Guillaume Desjardins, Grzegorz Swirszcz, Valentin Dalibard, Jascha Sohl-Dickstein, Samuel S. Schoenholz

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Faster Improvement Rate Population Based Training


Sep 28, 2021
Valentin Dalibard, Max Jaderberg

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* 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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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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* 9 pages 

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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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Tuning the Scheduling of Distributed Stochastic Gradient Descent with Bayesian Optimization


Dec 01, 2016
Valentin Dalibard, Michael Schaarschmidt, Eiko Yoneki

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Learning Runtime Parameters in Computer Systems with Delayed Experience Injection


Oct 31, 2016
Michael Schaarschmidt, Felix Gessert, Valentin Dalibard, Eiko Yoneki

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* Deep Reinforcement Learning Workshop, NIPS 2016 

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