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Critic Regularized Regression


Jun 26, 2020
Ziyu Wang, Alexander Novikov, Konrad 呕o艂na, Jost Tobias Springenberg, Scott Reed, Bobak Shahriari, Noah Siegel, Josh Merel, Caglar Gulcehre, Nicolas Heess, Nando de Freitas

* 23 pages 

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Acme: A Research Framework for Distributed Reinforcement Learning


Jun 01, 2020
Matt Hoffman, Bobak Shahriari, John Aslanides, Gabriel Barth-Maron, Feryal Behbahani, Tamara Norman, Abbas Abdolmaleki, Albin Cassirer, Fan Yang, Kate Baumli, Sarah Henderson, Alex Novikov, Sergio G贸mez Colmenarejo, Serkan Cabi, Caglar Gulcehre, Tom Le Paine, Andrew Cowie, Ziyu Wang, Bilal Piot, Nando de Freitas


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Making Efficient Use of Demonstrations to Solve Hard Exploration Problems


Sep 03, 2019
Tom Le Paine, Caglar Gulcehre, Bobak Shahriari, Misha Denil, Matt Hoffman, Hubert Soyer, Richard Tanburn, Steven Kapturowski, Neil Rabinowitz, Duncan Williams, Gabriel Barth-Maron, Ziyu Wang, Nando de Freitas, Worlds Team


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Which Learning Algorithms Can Generalize Identity-Based Rules to Novel Inputs?


May 12, 2016
Paul Tupper, Bobak Shahriari

* 6 pages, accepted abstract at COGSCI 2016 

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Unbounded Bayesian Optimization via Regularization


Aug 14, 2015
Bobak Shahriari, Alexandre Bouchard-C么t茅, Nando de Freitas

* 9 pages, 4 figures 

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An Entropy Search Portfolio for Bayesian Optimization


Mar 04, 2015
Bobak Shahriari, Ziyu Wang, Matthew W. Hoffman, Alexandre Bouchard-C么t茅, Nando de Freitas

* 10 pages, 5 figures 

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Heteroscedastic Treed Bayesian Optimisation


Mar 04, 2015
John-Alexander M. Assael, Ziyu Wang, Bobak Shahriari, Nando de Freitas


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Exploiting correlation and budget constraints in Bayesian multi-armed bandit optimization


Nov 11, 2013
Matthew W. Hoffman, Bobak Shahriari, Nando de Freitas


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