Mohammad Gheshlaghi Azar is a research scientist at DeepMind AI, working on a broad range of topics from deep reinforcement learning (RL) to self-supervised learning. He completed his education at Radboud University Nijmegen, Northwestern University, and the School of Computer Science at Carnegie Mellon University.
Azar's main passion is to gain a better understanding of the concept of intelligence by exploring its governing mathematical principles. He has authored at least 39 papers between 2010 and 2023, with his most cited works including:
Youtube Title: Lecture 9.3 All Other Steps
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Youtube Channel Name: The Qualcomm Institute
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Lecture 9.3 All Other Steps
Youtube Title: Expertise and Artificial Intelligence | Mohammadreza Jalaeian | TEDxSIUC
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Youtube Channel Name: TEDx Talks
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Expertise and Artificial Intelligence | Mohammadreza Jalaeian | TEDxSIUC
Youtube Title: ASB2020: Jim Hay Award Symposium
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Youtube Channel Name: ASB EXE
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ASB2020: Jim Hay Award Symposium
Youtube Title: Deep Reinforcement Learning: Meta-Learning | Analytics Club at ETH | Data Science Meetup
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Youtube Channel Name: Analytics Club at ETH
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Deep Reinforcement Learning: Meta-Learning | Analytics Club at ETH | Data Science Meetup
Youtube Title: Learning to make multiple predictions
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Youtube Channel Name: Microsoft Research
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Learning to make multiple predictions
Youtube Title: Amplify Your GIS
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Youtube Channel Name: ArcGIS
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Amplify Your GIS
Youtube Title: Mohamed Ge. Zayda, Dar Al Uloom University, Saudi Arabia
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Youtube Channel Name: Coalesce Research Group
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Mohamed Ge. Zayda, Dar Al Uloom University, Saudi Arabia
Youtube Title: Learning and Transferring Visual Representations with Few Labels - Carl Doersch
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Youtube Channel Name: Oxford VGG
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Learning and Transferring Visual Representations with Few Labels - Carl Doersch