University of Alberta
University of Toronto
Hado van HasseltSenior Staff Research Scientist · Google DeepMindResearcher↗
Researcher
Volodymyr Mnih
Google DeepMindResearch Scientist
Mnih was first author of the landmark DQN work, which showed that an AI system could learn Atari games directly from screen images. He later led A3C, a faster approach that trained several game-playing agents in parallel and helped establish deep reinforcement learning.
Career & education
Current role
Research Scientist
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.
citations102,061As of Aug 1, '26
citations+1,164Since last snapshot, Jul 1, '26
Selected contributions
Human-level control through deep reinforcement learning
With Koray Kavukcuoglu, David Silver, Andrei A. Rusu, Joel Veness, Marc G. Bellemare, Alex Graves, Martin Riedmiller and others ·Presented DQN, learning to play 49 Atari games from screen images and game scores.
Playing Atari with Deep Reinforcement Learning
With Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra and Martin RiedmillerShowed a neural network could learn Atari games directly from screen pixels and rewards.
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Reviewed August 22, 2026 · Checked for accuracy and new information.
