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Mohammad Gheshlaghi Azar
Mohammad Gheshlaghi Azar
Research Scientist at DeepMind
Adresse e-mail validée de google.com
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Année
Rainbow: Combining improvements in deep reinforcement learning
M Hessel, J Modayil, H Van Hasselt, T Schaul, G Ostrovski, W Dabney, ...
Thirty-second AAAI conference on artificial intelligence, 2018
14732018
Bootstrap your own latent-a new approach to self-supervised learning
JB Grill, F Strub, F Altché, C Tallec, P Richemond, E Buchatskaya, ...
Advances in Neural Information Processing Systems 33, 21271-21284, 2020
13682020
Noisy networks for exploration
M Fortunato, MG Azar, B Piot, J Menick, I Osband, A Graves, V Mnih, ...
arXiv preprint arXiv:1706.10295, 2017
6432017
Minimax regret bounds for reinforcement learning
MG Azar, I Osband, R Munos
International Conference on Machine Learning, 263-272, 2017
4282017
Minimax PAC bounds on the sample complexity of reinforcement learning with a generative model
M Gheshlaghi Azar, R Munos, HJ Kappen
Machine learning 91 (3), 325-349, 2013
1692013
Speedy Q-Learning
MG Azar, M Ghavamzadeh, HJ Kappen, R Munos
Advances in Neural Information Processing Systems, 2411-2419, 2011
151*2011
The reactor: A fast and sample-efficient actor-critic agent for reinforcement learning
A Gruslys, W Dabney, MG Azar, B Piot, M Bellemare, R Munos
arXiv preprint arXiv:1704.04651, 2017
123*2017
Dynamic Policy Programming
M Gheshlaghi Azar, V Gomez, HJ Kappen
Journal of Machine Learning Research 13, 3207-3245, 2012
1222012
Sequential transfer in multi-armed bandit with finite set of models
MG Azar, A Lazaric, E Brunskill
Advances in Neural Information Processing Systems, 2220-2228, 2013
852013
On the sample complexity of reinforcement learning with a generative model
MG Azar, R Munos, B Kappen
arXiv preprint arXiv:1206.6461, 2012
762012
Observe and look further: Achieving consistent performance on atari
T Pohlen, B Piot, T Hester, MG Azar, D Horgan, D Budden, G Barth-Maron, ...
arXiv preprint arXiv:1805.11593, 2018
702018
Bootstrap latent-predictive representations for multitask reinforcement learning
ZD Guo, BA Pires, B Piot, JB Grill, F Altché, R Munos, MG Azar
International Conference on Machine Learning, 3875-3886, 2020
572020
Stochastic optimization of a locally smooth function under correlated bandit feedback
MG Azar, A Lazaric, E Brunskill
31st International Conference on Machine Learning (ICML), 2014
56*2014
Hindsight credit assignment
A Harutyunyan, W Dabney, T Mesnard, M Gheshlaghi Azar, B Piot, ...
Advances in neural information processing systems 32, 2019
492019
Dynamic policy programming with function approximation
MG Azar, V Gómez, B Kappen
Proceedings of the Fourteenth International Conference on Artificial …, 2011
452011
Neural predictive belief representations
ZD Guo, MG Azar, B Piot, BA Pires, R Munos
arXiv preprint arXiv:1811.06407, 2018
442018
Meta-learning of sequential strategies
PA Ortega, JX Wang, M Rowland, T Genewein, Z Kurth-Nelson, ...
arXiv preprint arXiv:1905.03030, 2019
412019
Bootstrapped representation learning on graphs
S Thakoor, C Tallec, MG Azar, R Munos, P Veličković, M Valko
ICLR 2021 Workshop on Geometrical and Topological Representation Learning, 2021
362021
Regret bounds for reinforcement learning with policy advice
MG Azar, A Lazaric, E Brunskill
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2013
352013
A cryptography-based approach for movement decoding
EL Dyer, M Gheshlaghi Azar, MG Perich, HL Fernandes, S Naufel, ...
Nature biomedical engineering 1 (12), 967-976, 2017
322017
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