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
14172 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
1805 2013 Unifying count-based exploration and intrinsic motivation MG Bellemare, S Srinivasan, G Ostrovski, T Schaul, D Saxton, R Munos
arXiv preprint arXiv:1606.01868, 2016
726 2016 A distributional perspective on reinforcement learning MG Bellemare, W Dabney, R Munos
International Conference on Machine Learning, 449-458, 2017
599 2017 Safe and efficient off-policy reinforcement learning R Munos, T Stepleton, A Harutyunyan, MG Bellemare
arXiv preprint arXiv:1606.02647, 2016
376 2016 An introduction to deep reinforcement learning V François-Lavet, P Henderson, R Islam, MG Bellemare, J Pineau
arXiv preprint arXiv:1811.12560, 2018
353 2018 Count-based exploration with neural density models G Ostrovski, MG Bellemare, A Oord, R Munos
International conference on machine learning, 2721-2730, 2017
294 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
250 2018 Automated curriculum learning for neural networks A Graves, MG Bellemare, J Menick, R Munos, K Kavukcuoglu
international conference on machine learning, 1311-1320, 2017
245 2017 Distributional reinforcement learning with quantile regression W Dabney, M Rowland, M Bellemare, R Munos
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
188 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
185 2017 A laplacian framework for option discovery in reinforcement learning MC Machado, MG Bellemare, M Bowling
International Conference on Machine Learning, 2295-2304, 2017
140 2017 Dopamine: A research framework for deep reinforcement learning PS Castro, S Moitra, C Gelada, S Kumar, MG Bellemare
arXiv preprint arXiv:1812.06110, 2018
107 2018 The hanabi challenge: A new frontier for ai research N Bard, JN Foerster, S Chandar, N Burch, M Lanctot, HF Song, E Parisotto, ...
Artificial Intelligence 280, 103216, 2020
97 2020 Increasing the action gap: New operators for reinforcement learning MG Bellemare, G Ostrovski, A Guez, P Thomas, R Munos
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
96 2016 Investigating contingency awareness using Atari 2600 games M Bellemare, J Veness, M Bowling
Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 2012
74 2012 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
70 2007 Deepmdp: Learning continuous latent space models for representation learning C Gelada, S Kumar, J Buckman, O Nachum, MG Bellemare
International Conference on Machine Learning, 2170-2179, 2019
62 2019 The reactor: A sample-efficient actor-critic architecture A Gruslys, MG Azar, MG Bellemare, R Munos
arXiv preprint arXiv:1704.04651 5, 2017
59 2017 Q( A Harutyunyan, MG Bellemare, T Stepleton, R Munos
International Conference on Algorithmic Learning Theory, 305-320, 2016
51 2016 
Joel VenessGoogle DeepMindGeverifieerd e-mailadres voor google.com
