Google DeepMind
Microsoft Research
UCL
McGill University
Rishabh AgarwalFounding member · Periodic LabsResearcher↗
Researcher
Arthur Guez
Guez helped create AlphaGo and co-authored AlphaGo Zero, AlphaZero, and MuZero. These systems showed that an AI could combine learning and look-ahead planning to master difficult games, with MuZero doing so without being given the game's rules. His work helped establish planning as a core capability of learned agents.
Career & education
Current role
Previously
Research Scientist
Research Intern
Education
Work and education history is primarily focused on AI-relevant roles and may not be comprehensive.
Citation Trend
Total citations to scholarly work, including research papers, technical reports, books and theses, as recorded by Google Scholar. Each point is a dated snapshot.
citations91,102As of Aug 1, '26
citations+1,011Since last snapshot, Jul 12, '26
Selected contributions
Mastering the game of Go with deep neural networks and tree search
With David Silver, Aja Huang, Chris J. Maddison, Laurent Sifre, George van den Driessche, Julian Schrittwieser, Ioannis Antonoglou and others ·AlphaGo combined neural networks and search to beat a professional Go player.
Deep Reinforcement Learning with Double Q-Learning
With Hado van Hasselt and David SilverDouble DQN reduces inflated reward estimates when learning through trial and error.
Mastering the game of Go without human knowledge
With David Silver, Julian Schrittwieser, Karén Simonyan, Ioannis Antonoglou, Aja Huang, Thomas Hubert, Lucas Baker and others ·AlphaGo Zero learned Go through self-play without examples of human games.
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Reviewed August 8, 2026 · Checked for accuracy and new information.
