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AT&T
IIT Delhi
University of Massachusetts Amherst
Tom SchaulSenior Staff Research Scientist · Google DeepMindResearcher↗
Researcher · Academic
Satinder Singh
Google DeepMindResearch Scientist
University of MichiganProfessor of AI
Singh made foundational contributions to reinforcement learning, including ways to break long decisions into reusable skills and to design rewards that guide an agent toward the intended behavior.[1] At Michigan and Google DeepMind, he studies agents that keep learning in complex, uncertain worlds.
Career & education
Current rolesGoogle DeepMind2020-presentResearch ScientistUniversity of Michigan2018-presentProfessor of AI
Google DeepMind2020-presentUniversity of Michigan2018-presentPreviously
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.
citations57,688As of Nov 3, '26
citations+3,769Since last snapshot, Jun 15, '26
Selected contributions
Genie: Generative Interactive Environments
With Jake Bruce, Michael D Dennis, Ashley Edwards, Jack Parker-Holder, Yuge Shi, Edward Hughes, Matthew Lai and others ·Genie learns from videos to turn an image into a controllable virtual world.
References
- On Learning Intrinsic Rewards for Policy Gradient Methodsarxiv.org
Singh coauthored this original study of learning rewards that help agents achieve designer-specified behavior, building on his Optimal Rewards Framework.
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Reviewed August 8, 2026 · Checked for accuracy and new information.
