Researcher · Founder · Executive
Daan Wierstra
Current role not listed
Wierstra helped show that AI could learn to act through trial and error. He co-authored DeepMind’s Atari work, in which neural networks learned games directly from screen images, and DDPG, which extended this approach to smooth movements such as steering and robotic control.
Career & education
H Company2024-2024
Google DeepMind2011-2024Work and education history is primarily focused on AI-relevant roles and may not be comprehensive.
Citation Trend
Selected contributions
Human-level control through deep reinforcement learning
With Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A. Rusu, Joel Veness, Marc G. Bellemare, Alex Graves and others ·Presented DQN, learning to play 49 Atari games from screen images and game scores.
Playing Atari with Deep Reinforcement Learning
With Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou and Martin RiedmillerShowed a neural network could learn Atari games directly from screen pixels and rewards.
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Reviewed July 10, 2026 · Checked for accuracy and new information.