Marc G. Bellemare
Marc G. Bellemare
Google Brain
Verified email at google.com - Homepage
TitleCited byYear
Human-level control through deep reinforcement learning
V Mnih, K Kavukcuoglu, D Silver, AA Rusu, J Veness, MG Bellemare, ...
Nature 518 (7540), 529, 2015
64182015
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
9552013
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
3462016
Safe and efficient off-policy reinforcement learning
R Munos, T Stepleton, A Harutyunyan, M Bellemare
Advances in Neural Information Processing Systems, 1054-1062, 2016
1842016
A distributional perspective on reinforcement learning
MG Bellemare, W Dabney, R Munos
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
1772017
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
1252017
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
1022018
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
902017
The cramer distance as a solution to biased wasserstein gradients
MG Bellemare, I Danihelka, W Dabney, S Mohamed, ...
arXiv preprint arXiv:1705.10743, 2017
742017
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
682017
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
542016
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
542007
Investigating contingency awareness using Atari 2600 games
MG Bellemare, J Veness, M Bowling
Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
532012
Distributional reinforcement learning with quantile regression
W Dabney, M Rowland, MG Bellemare, R Munos
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
432018
The reactor: A sample-efficient actor-critic architecture
A Gruslys, MG Azar, MG Bellemare, R Munos
arXiv preprint arXiv:1704.04651 5, 2017
402017
Q() with Off-Policy Corrections
A Harutyunyan, MG Bellemare, T Stepleton, R Munos
International Conference on Algorithmic Learning Theory, 305-320, 2016
302016
An introduction to deep reinforcement learning
V François-Lavet, P Henderson, R Islam, MG Bellemare, J Pineau
Foundations and Trends® in Machine Learning 11 (3-4), 219-354, 2018
262018
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
252011
Bayesian Learning of Recursively Factored Environments
M Bellemare, J Veness, M Bowling
242013
Skip context tree switching
M Bellemare, J Veness, E Talvitie
International Conference on Machine Learning, 1458-1466, 2014
232014
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