University of Massachusetts Amherst
Dale SchuurmansResearch Director · Google DeepMindResearcher↗
Researcher · Academic
Doina Precup
Google DeepMindResearch Team Lead
McGill UniversityAssociate Professor
Precup helped develop “options,” a way for AI agents to learn reusable skills that span many actions, such as navigating to a destination.[1] She also developed methods for evaluating a strategy using experience gathered under a different one.[2] Her work also explores how AI can support medical decisions under uncertainty.[3]
Career & education
Current rolesGoogle DeepMind2017-presentResearch Team LeadMcGill University2006-presentAssociate Professor
Google DeepMind2017-presentMcGill University2006-presentPreviouslyMcGill University2000-2006Assistant Professor
McGill University2000-2006Education
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.
citations54,621As of Oct 27, '26
citations+4,532Since last snapshot, Jun 15, '26
References
- Between MDPs and Semi-MDPssciencedirect.com
Precup and her co-authors introduce options, which let agents reason about individual actions and longer skills within the same framework.
- Eligibility Traces for Off-Policy Policy Evaluationpapersdb.cs.ualberta.ca
Precup, Sutton, and Singh develop methods for estimating how one strategy would perform from experience generated by another.
- Doina Precup at McGillmcgill.ca
McGill describes Precup’s research on decision-making under uncertainty and applications of reinforcement learning in health care.
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Reviewed August 24, 2026 · Checked for accuracy and new information.
