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A Combinatorial Perspective on Transfer Learning

Oct 23, 2020
Jianan Wang, Eren Sezener, David Budden, Marcus Hutter, Joel Veness


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Gaussian Gated Linear Networks

Jun 10, 2020
David Budden, Adam Marblestone, Eren Sezener, Tor Lattimore, Greg Wayne, Joel Veness


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Online Learning in Contextual Bandits using Gated Linear Networks

Feb 21, 2020
Eren Sezener, Marcus Hutter, David Budden, Jianan Wang, Joel Veness


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Gated Linear Networks

Sep 30, 2019
Joel Veness, Tor Lattimore, Avishkar Bhoopchand, David Budden, Christopher Mattern, Agnieszka Grabska-Barwinska, Peter Toth, Simon Schmitt, Marcus Hutter

* arXiv admin note: substantial text overlap with arXiv:1712.01897 

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Meta-learning of Sequential Strategies

May 08, 2019
Pedro A. Ortega, Jane X. Wang, Mark Rowland, Tim Genewein, Zeb Kurth-Nelson, Razvan Pascanu, Nicolas Heess, Joel Veness, Alex Pritzel, Pablo Sprechmann, Siddhant M. Jayakumar, Tom McGrath, Kevin Miller, Mohammad Azar, Ian Osband, Neil Rabinowitz, András György, Silvia Chiappa, Simon Osindero, Yee Whye Teh, Hado van Hasselt, Nando de Freitas, Matthew Botvinick, Shane Legg

* DeepMind Technical Report (15 pages, 6 figures) 

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Online Learning with Gated Linear Networks

Dec 05, 2017
Joel Veness, Tor Lattimore, Avishkar Bhoopchand, Agnieszka Grabska-Barwinska, Christopher Mattern, Peter Toth

* 40 pages 

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Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents

Dec 01, 2017
Marlos C. Machado, Marc G. Bellemare, Erik Talvitie, Joel Veness, Matthew Hausknecht, Michael Bowling


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Overcoming catastrophic forgetting in neural networks

Jan 25, 2017
James Kirkpatrick, Razvan Pascanu, Neil Rabinowitz, Joel Veness, Guillaume Desjardins, Andrei A. Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, Demis Hassabis, Claudia Clopath, Dharshan Kumaran, Raia Hadsell


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Compress and Control

Nov 19, 2014
Joel Veness, Marc G. Bellemare, Marcus Hutter, Alvin Chua, Guillaume Desjardins

* 8 pages, 5 figures 

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Online Learning of k-CNF Boolean Functions

Mar 26, 2014
Joel Veness, Marcus Hutter

* 20 LaTeX pages. 2 Algorithms. Some Theorems 

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The Arcade Learning Environment: An Evaluation Platform for General Agents

Jun 21, 2013
Marc G. Bellemare, Yavar Naddaf, Joel Veness, Michael Bowling

* Journal of Artificial Intelligence Research 47, pages 253-279 

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Partition Tree Weighting

Nov 21, 2012
Joel Veness, Martha White, Michael Bowling, András György


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An Approximation of the Universal Intelligence Measure

Sep 29, 2011
Shane Legg, Joel Veness

* 14 pages 

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A Monte Carlo AIXI Approximation

Dec 26, 2010
Joel Veness, Kee Siong Ng, Marcus Hutter, William Uther, David Silver

* 51 LaTeX pages, 11 figures, 6 tables, 4 algorithms 

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Reinforcement Learning via AIXI Approximation

Jul 13, 2010
Joel Veness, Kee Siong Ng, Marcus Hutter, David Silver

* Proc. 24th AAAI Conference on Artificial Intelligence (AAAI 2010) pages 605-611 
* 8 LaTeX pages, 1 figure 

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