Mohammad Gheshlaghi Azar

Joined

October 2017

Names

Emails

****@google.com (Confirmed)

Personal Links

Homepage

Career & Education History

Researcher

DeepMind (google.com)

2016 – 2022

Postdoc

Northwestern University (northwestern.edu)

2014 – 2016

Postdoc

School of Computer Science, Carnegie Mellon University (cs.cmu.edu)

2012 – 2013

PhD student

Radboud University Nijmegen (science.ru.nl)

2008 – 2012

Advisors, Relations & Conflicts

PhD Advisor

Remi Munos

2011 – 2012

PhD Advisor

Bert Kappen

2008 – 2012

Expertise

Deep Learning

2015 – 2017

Online Learning

2012 – 2017

Reinforcement learning

2005 – 2017

Publications

Nash Learning from Human Feedback
Remi Munos, Michal Valko, Daniele Calandriello, Mohammad Gheshlaghi Azar, Mark Rowland, Zhaohan Daniel Guo, Yunhao Tang, Matthieu Geist, Thomas Mesnard, Côme Fiegel, Andrea Michi, Marco Selvi, Sertan Girgin, Nikola Momchev, Olivier Bachem, Daniel J Mankowitz, Doina Precup, Bilal Piot
- ICML 2024 Spotlight
- Readers: Everyone
Understanding Self-Predictive Learning for Reinforcement Learning
Yunhao Tang, Zhaohan Daniel Guo, Pierre Harvey Richemond, Bernardo Avila Pires, Yash Chandak, Remi Munos, Mark Rowland, Mohammad Gheshlaghi Azar, Charline Le Lan, Clare Lyle, András György, Shantanu Thakoor, Will Dabney, Bilal Piot, Daniele Calandriello, Michal Valko
- ICML 2023 Poster
- Readers: Everyone
Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice
Toshinori Kitamura, Tadashi Kozuno, Yunhao Tang, Nino Vieillard, Michal Valko, Wenhao Yang, Jincheng Mei, Pierre MENARD, Mohammad Gheshlaghi Azar, Remi Munos, Olivier Pietquin, Matthieu Geist, Csaba Szepesvari, Wataru Kumagai, Yutaka Matsuo
- ICML 2023 Poster
- Readers: Everyone
BLaDE: Robust Exploration via Diffusion Models
Bilal Piot, Zhaohan Daniel Guo, Shantanu Thakoor, Mohammad Gheshlaghi Azar
- 08 Oct 2022 (modified: 05 May 2023)
- Deep RL Workshop 2022
- Readers: Everyone
KL-Entropy-Regularized RL with a Generative Model is Minimax Optimal
Tadashi Kozuno, Wenhao Yang, Nino Vieillard, Toshinori Kitamura, Yunhao Tang, Jincheng Mei, Pierre MENARD, Mohammad Gheshlaghi Azar, Michal Valko, Remi Munos, Olivier Pietquin, Matthieu Geist, Csaba Szepesvari
- 22 Sept 2022 (modified: 13 Feb 2023)
- ICLR 2023 Conference Withdrawn Submission
- Readers: Everyone
Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction
Mehdi Azabou, Mohammad Gheshlaghi Azar, Ran Liu, Chi-Heng Lin, Erik Christopher Johnson, Kiran Bhaskaran Nair, Max Dabagia, Bernardo Avila Pires, Lindsey Kitchell, Keith B Hengen, William Gray-Roncal, Michal Valko, Eva L Dyer
- 15 Sept 2022
- OpenReview Archive Direct Upload
- Readers: Everyone
BYOL-Explore: Exploration by Bootstrapped Prediction
Zhaohan Daniel Guo, Shantanu Thakoor, Miruna Pislar, Bernardo Avila Pires, Florent Altché, Corentin Tallec, Alaa Saade, Daniele Calandriello, Jean-Bastien Grill, Yunhao Tang, Michal Valko, Remi Munos, Mohammad Gheshlaghi Azar, Bilal Piot
- Published: 31 Oct 2022, Last Modified: 20 Dec 2022
- NeurIPS 2022 Accept
- Readers: Everyone
Large-Scale Representation Learning on Graphs via Bootstrapping
Shantanu Thakoor, Corentin Tallec, Mohammad Gheshlaghi Azar, Mehdi Azabou, Eva L Dyer, Remi Munos, Petar Veličković, Michal Valko
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Poster
- Readers: Everyone
Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity
Ran Liu, Mehdi Azabou, Max Dabagia, Chi-Heng Lin, Mohammad Gheshlaghi Azar, Keith B Hengen, Michal Valko, Eva L Dyer
- Published: 09 Nov 2021, Last Modified: 26 May 2025
- NeurIPS 2021 Oral
- Readers: Everyone
Hindsight credit assignment
Anna Harutyunyan, Will Dabney, Thomas Mesnard, Mohammad Gheshlaghi Azar, Bilal Piot, Nicolas Heess, Hado van Hasselt, Greg Wayne, Satinder Singh, Remi Munos
- 11 May 2021
- OpenReview Archive Direct Upload
- Readers: Everyone

View all 12 publications

Co-Authors

View all 67 co-authors