Utrecht University
Volodymyr MnihResearch Scientist · Google DeepMindResearcher↗Hv
Researcher
Hado van Hasselt
Google DeepMindSenior Staff Research Scientist
Van Hasselt improved how AI learns through trial and error. His Double Q-learning method reduces a tendency to overestimate future rewards, helping systems make better decisions. He also co-created Rainbow, which combined several learning advances into an agent that mastered a wide range of Atari games.
Career & education
Current roleGoogle DeepMind2018-presentSenior Staff Research Scientist
Google DeepMind2018-presentPreviouslyGoogle DeepMind2014-2018Research Scientist -> Staff Research Scientist
Google DeepMind2014-2018Education
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.
citations48,230As of Oct 20, '26
citations+4,859Since last snapshot, Jun 15, '26
Selected contributions
Deep Reinforcement Learning with Double Q-Learning
With Arthur Guez and David SilverDouble DQN reduces inflated reward estimates when learning through trial and error.
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