Stanford University
CentraleSupélec
Aja HuangSenior Staff Research Scientist · Google DeepMindResearcher↗TH
Researcher · Engineer
Thomas Hubert
Google DeepMindResearch Engineer
Hubert helped build DeepMind's line of self-play and planning systems: AlphaZero showed one reinforcement-learning algorithm could master chess, shogi, and Go from the rules alone; MuZero pushed the idea further by planning with a learned model of the environment.
Career & education
Current roleGoogle DeepMindMay 2016-presentResearch Engineer
Google DeepMindMay 2016-presentPreviously
J.P. MorganJul 2010-Mar 2016Quant
J.P. MorganJul 2010-Mar 2016Education
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.
citations34,121As of Jul 3, '26
Selected contributions
Mastering the game of Go without human knowledge
With David Silver, Julian Schrittwieser, Karén Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Lucas Baker and others ·AlphaGo Zero learned Go through self-play without examples of human games.
A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
With David Silver, Julian Schrittwieser, Ioannis Antonoglou, Matthew Lai, Arthur Guez, Marc Lanctot, Laurent Sifre and others ·AlphaZero learned chess, shogi and Go through self-play rather than human examples.
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
With Julian Schrittwieser, Ioannis Antonoglou, Karén Simonyan, Laurent Sifre, Simon Schmitt, Arthur Guez, Edward Lockhart and others ·MuZero learns a model of a game to plan moves without being given its rules.
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