Joel Veness

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Marc G. BellemareGoogle BrainVerified email at google.com
David SilverDeepMind, UCLVerified email at google.com
Dharshan KumaranGoogle DeepMindVerified email at fil.ion.ucl.ac.uk
Michael BowlingUniversity of Alberta / DeepMindVerified email at ualberta.ca
koray kavukcuogluDeepMindVerified email at kavukcuoglu.org
Neil RabinowitzDeepMindVerified email at google.com
Razvan PascanuResearch Scientist at Google DeepMindVerified email at google.com
Guillaume DesjardinsDeepMindVerified email at google.com
Marcus HutterResearcher@DeepMind & Professor at ANUVerified email at anu.edu.au
Volodymyr MnihDeepMindVerified email at cs.toronto.edu
Georg OstrovskiGoogle DeepMindVerified email at google.com
Prof. Claudia ClopathBioengineering, Imperial College LondonVerified email at imperial.ac.uk
Raia HadsellGoogle DeepMindVerified email at google.com
Kee Siong NgAustralian Government / Australian National UniversityVerified email at anu.edu.au
William UtherGoogleVerified email at uther.id.au
Erin J. TalvitieAssociate Professor of Computer Science, Harvey Mudd CollegeVerified email at cs.hmc.edu
Andras GyorgyDeepMindVerified email at ualberta.ca
Alan BlairComputer Science, University of New South WalesVerified email at cse.unsw.edu.au
Marc LanctotResearch Scientist, Google DeepMindVerified email at google.com
Abdallah SaffidineLecturer, the University of New South WalesVerified email at unsw.edu.au

Joel Veness

Google DeepMind

Verified email at google.com - Homepage

Artificial Intelligence


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Human-level control through deep reinforcement learning V Mnih, K Kavukcuoglu, D Silver, AA Rusu, J Veness, MG Bellemare, ... nature 518 (7540), 529-533, 2015	20219	2015
Overcoming catastrophic forgetting in neural networks J Kirkpatrick, R Pascanu, N Rabinowitz, J Veness, G Desjardins, AA Rusu, ... Proceedings of the national academy of sciences 114 (13), 3521-3526, 2017	3361	2017
The arcade learning environment: An evaluation platform for general agents MG Bellemare, Y Naddaf, J Veness, M Bowling Journal of Artificial Intelligence Research, 2013	2509	2013
Monte-Carlo planning in large POMDPs D Silver, J Veness Advances in neural information processing systems 23, 2010	1095	2010
Revisiting the arcade learning environment: Evaluation protocols and open problems for general agents MC Machado, MG Bellemare, E Talvitie, J Veness, M Hausknecht, ... Journal of Artificial Intelligence Research 61, 523-562, 2018	403	2018
A Monte-Carlo AIXI Approximation J Veness, KS Ng, M Hutter, W Uther, D Silver Journal of Artificial Intelligence Research 40 (1), 95-142, 2011	195	2011
Bootstrapping from Game Tree Search J Veness, D Silver, A Blair, W Uther Advances in neural information processing systems, 1937-1945, 2009	85	2009
Investigating contingency awareness using Atari 2600 games MG Bellemare, J Veness, M Bowling Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012	83	2012
& Petersen, S.(2015). Human-level control through deep reinforcement learning V Mnih, K Kavukcuoglu, D Silver, AA Rusu, J Veness, MG Bellemare Nature 518 (7540), 529, 0	71
An approximation of the universal intelligence measure S Legg, J Veness Ray Solomonoff Memorial Conference 2011, 2011	66	2011
Context tree switching J Veness, KS Ng, M Hutter, M Bowling 2012 data compression conference, 327-336, 2012	49	2012
Meta-learning of sequential strategies PA Ortega, JX Wang, M Rowland, T Genewein, Z Kurth-Nelson, ... arXiv preprint arXiv:1905.03030, 2019	45	2019
Skip context tree switching M Bellemare, J Veness, E Talvitie International conference on machine learning, 1458-1466, 2014	41	2014
Bayesian Learning of Recursively Factored Environments M Bellemare, J Veness, M Bowling ICML 2013, 2013	38	2013
Reinforcement learning via AIXI approximation J Veness, KS Ng, M Hutter, D Silver AAAI 2010, 2010	32	2010
Sketch-based linear value function approximation M Bellemare, J Veness, M Bowling Advances in Neural Information Processing Systems 25, 2012	28	2012
The forget-me-not process K Milan, J Veness, J Kirkpatrick, M Bowling, A Koop, D Hassabis Advances in Neural Information Processing Systems 29, 2016	25	2016
Monte Carlo*-Minimax Search M Lanctot, A Saffidine, J Veness, C Archibald, MHM Winands IJCAI 2013, 2013	22	2013
Compress and Control J Veness, MG Bellemare, M Hutter, A Chua, G Desjardins Association for the Advancement of Artificial Intelligence (AAAI), 2015	21	2015
Variance reduction in Monte-Carlo tree search J Veness, M Lanctot, M Bowling Advances in Neural Information Processing Systems, 1836-1844, 2011	21	2011

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