Scholar
Tom Schaul
Google Scholar ID: vDimc-4AAAAJ
Senior Staff Scientist, DeepMind
Reinforcement Learning
Deep Learning
Deep Reinforcement Learning
Game AI
Exploration
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Homepage
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Google Scholar
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Citations & Impact
All-time
Citations
34,885
H-index
43
i10-index
72
Publications
20
Co-authors
126
list available
Contact
CV
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GitHub
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Publications
2 items
Plasticity as the Mirror of Empowerment
2025
Cited
0
Agency Is Frame-Dependent
2025
Cited
0
Resume (English only)
Academic Achievements
- Published papers in top conferences and journals such as NeurIPS 2022, Nature Communications 2020, Nature 2019
- Served various roles in international conferences like program chair for RLC 2026, area chair for ICML 2024
- Involved in significant projects including StarCraft II
Research Experience
- Postdoc at the Courant Institute of NYU, in Yann LeCun's lab, 2011-2013
- Senior Staff Research Scientist at DeepMind London, current position
Education
- MSc from EPFL (Switzerland), 2005
- PhD from TU Munich, supervised by Jürgen Schmidhuber at IDSIA, 2011
Background
- Research Interests: (modular/hierarchical) reinforcement learning, (stochastic/black-box) optimization with minimal hyperparameter tuning, and (deep/recurrent) neural networks.
- Favorite Application Domain: Games
- Grew up in Luxembourg
Miscellany
- Has a particular interest in games
Co-authors
126 total
David Silver
DeepMind, UCL
Juergen Schmidhuber
King Abdullah University of Science and Technology / The Swiss AI Lab, IDSIA / University of Lugano
Co-author 3
Co-author 4
Oriol Vinyals
Research Scientist at Google DeepMind
Will Dabney
DeepMind
Tobias Glasmachers
Unknown affiliation
Andre Barreto
Research Scientist, Google DeepMind
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