Satinder SinghResearch Scientist · Google DeepMindResearcher↗TS
Researcher
Tom Schaul
Google DeepMindSenior Staff Research Scientist
Schaul helped make reinforcement-learning agents learn more efficiently by inventing prioritized experience replay, which revisits the experiences most useful for improvement. That idea became a core component of Agent57, the first agent to outperform humans across all 57 Atari benchmark games.
Career & education
Current role
Senior Staff 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.
citations58,163As of Nov 1, '26
Selected contributions
Grandmaster level in StarCraft II using multi-agent reinforcement learning
With Oriol Vinyals, Igor Babuschkin, Wojciech Czarnecki, Michaël Mathieu, Andrew Dudzik, Junyoung Chung, David H. Choi and others ·AlphaStar reached Grandmaster level in StarCraft II through competitive AI training.
Based on public sources. If accuracy is important, verify details using the links or references.
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Reviewed August 8, 2026 · Checked for accuracy and new information.
