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Mohammad Gheshlaghi Azar
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I am a research scientist at DeepMind AI woking on broad range of topics from Deep RL to self-supervised learning. My main passion is to gain better understanding of the concept of intelligence by looking deeper on its governing mathematical principles.
Papers30 papers
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NIPS 2020, (2020)
Zhaohan Guo,Bernardo Avila Pires,Mohammad Gheshlaghi Azar,Bilal Piot, Florent Altché, Jean-Bastien Grill,Remi Munos
international conference on machine learning, (2020)
Remi Munos,Julien Perolat, Jean-Baptiste Lespiau,Mark Rowland,Bart De Vylder,Marc Lanctot, Finbarr Timbers,Daniel Hennes,Shayegan Omidshafiei, Audrunas Gruslys,Mohammad Gheshlaghi Azar,Edward Lockhart
ICML, pp.7119-7129, (2020)
ICML, pp.3875-3886, (2020)
Audrūnas Gruslys,Marc Lanctot,Rémi Munos, Finbarr Timbers, Martin Schmid,Julien Perolat, Dustin Morrill, Vinicius Zambaldi, Jean-Baptiste Lespiau, John Schultz,Mohammad Gheshlaghi Azar, Michael Bowling
Pedro A. Ortega,Jane X. Wang,Mark Rowland,Tim Genewein,Zeb Kurth-Nelson,Razvan Pascanu,Nicolas Heess,Joel Veness, Alexander Pritzel,Pablo Sprechmann, Siddhant M. Jayakumar, Tom McGrath
arXiv: Learning, (2019)
Azar Mohammad Gheshlaghi,Piot Bilal,Pires Bernardo Avila, Grill Jean-Bastian, Altché Florent,Munos Rémi
Anna Harutyunyan,Will Dabney, Thomas Mesnard,Mohammad Gheshlaghi Azar,Bilal Piot,Nicolas Heess,Hado P. van Hasselt, Gregory Wayne, Satinder Singh,Doina Precup,Remi Munos
NeurIPS, pp.12467-12476, (2019)
arXiv: Learning, (2018)
Tobias Pohlen,Bilal Piot,Todd Hester,Mohammad Gheshlaghi Azar, Dan Horgan,David Budden, Gabriel Barth-Maron,Hado van Hasselt, John Quan, Mel Vecerík,Matteo Hessel,Rémi Munos
arXiv: Learning, (2018)
Meire Fortunato,Mohammad Gheshlaghi Azar,Bilal Piot, Jacob Menick, Ian Osband,Alex Graves, Vlad Mnih,Rémi Munos,Demis Hassabis,Olivier Pietquin,Charles Blundell,Shane Legg
international conference on learning representations, (2018)
Nature biomedical engineering, no. 12 (2017): 967-976
ICML, (2017): 263-272
Frontiers in Artificial Intelligence and Applications, (2016): 177-186
ICML, pp.1557-1565, (2014)
ECML PKDD 2013 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in..., (2013): 97-112
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