Human-level control through deep reinforcement learning V Mnih, K Kavukcuoglu, D Silver, AA Rusu, J Veness, MG Bellemare, ...
Nature 518 (7540), 529, 2015
5258 2015 The Arcade Learning Environment: An Evaluation Platform for General Agents MG Bellemare, Y Naddaf, J Veness, M Bowling
Journal of Artificial Intelligence Research 47, 253--279, 2013
816 2013 Unifying count-based exploration and intrinsic motivation M Bellemare, S Srinivasan, G Ostrovski, T Schaul, D Saxton, R Munos
Advances in Neural Information Processing Systems, 1471-1479, 2016
274 2016 Safe and efficient off-policy reinforcement learning R Munos, T Stepleton, A Harutyunyan, M Bellemare
Advances in Neural Information Processing Systems, 1054-1062, 2016
153 2016 A distributional perspective on reinforcement learning MG Bellemare, W Dabney, R Munos
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
130 2017 Count-based exploration with neural density models G Ostrovski, MG Bellemare, A van den Oord, R Munos
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
85 2017 Automated curriculum learning for neural networks A Graves, MG Bellemare, J Menick, R Munos, K Kavukcuoglu
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
72 2017 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
67 2018 The cramer distance as a solution to biased wasserstein gradients MG Bellemare, I Danihelka, W Dabney, S Mohamed, ...
arXiv preprint arXiv:1705.10743, 2017
62 2017 Constructing evidence-based treatment strategies using methods from computer science J Pineau, MG Bellemare, AJ Rush, A Ghizaru, SA Murphy
Drug and alcohol dependence 88, S52-S60, 2007
55 2007 A laplacian framework for option discovery in reinforcement learning MC Machado, MG Bellemare, M Bowling
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
53 2017 Increasing the action gap: New operators for reinforcement learning MG Bellemare, G Ostrovski, A Guez, PS Thomas, R Munos
Thirtieth AAAI Conference on Artificial Intelligence, 2016
47 2016 Investigating contingency awareness using Atari 2600 games MG Bellemare, J Veness, M Bowling
Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
46 2012 The reactor: A sample-efficient actor-critic architecture A Gruslys, MG Azar, MG Bellemare, R Munos
arXiv preprint arXiv:1704.04651, 2017
33 2017 Distributional reinforcement learning with quantile regression W Dabney, M Rowland, MG Bellemare, R Munos
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
27 2018 Q( A Harutyunyan, MG Bellemare, T Stepleton, R Munos
International Conference on Algorithmic Learning Theory, 305-320, 2016
26 2016 A primer on reinforcement learning in the brain: Psychological, computational, and neural perspectives EA Ludvig, MG Bellemare, KG Pearson
Computational neuroscience for advancing artificial intelligence: Models …, 2011
24 2011 Bayesian Learning of Recursively Factored Environments M Bellemare, J Veness, M Bowling
23 2013 Skip context tree switching M Bellemare, J Veness, E Talvitie
International Conference on Machine Learning, 1458-1466, 2014
22 2014 Sketch-based linear value function approximation M Bellemare, J Veness, M Bowling
Advances in Neural Information Processing Systems, 2213-2221, 2012
22 2012 
Joel VenessGoogle DeepMindGeverifieerd e-mailadres voor google.com