Doina Precup

E753567

Doina Precup is a Romanian-Canadian computer scientist and leading researcher in reinforcement learning, known for her work on temporal abstraction and her role as a professor at McGill University and a senior leader at DeepMind.

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Doina Precup canonical 2

Statements (40)

Predicate Object
instanceOf computer scientist
researcher
affiliation Mila – Quebec AI Institute NERFINISHED
awardReceived Governor General’s Innovation Award NERFINISHED
NSERC E.W.R. Steacie Memorial Fellowship NERFINISHED
Royal Society of Canada College of New Scholars, Artists and Scientists membership
basedIn Montreal NERFINISHED
citizenship Canada
Romania NERFINISHED
doctoralAdvisor Richard Sutton NERFINISHED
educatedAt Babeș-Bolyai University NERFINISHED
University of Massachusetts Amherst NERFINISHED
employer DeepMind NERFINISHED
McGill University NERFINISHED
fieldOfWork artificial intelligence
computer science
machine learning
reinforcement learning
gender female
knownFor options framework in reinforcement learning
reinforcement learning
temporal abstraction in reinforcement learning
memberOf CIFAR Learning in Machines & Brains program NERFINISHED
nationality Canadian
Romanian
notableStudent Yoshua Bengio (collaborator, not student) NERFINISHED
occupation AI researcher
university professor
positionHeld Canada CIFAR AI Chair NERFINISHED
associate professor at McGill University
head of DeepMind Montreal
professor at McGill University
senior leader at DeepMind
researchInterest hierarchical reinforcement learning
off-policy learning
options in reinforcement learning
partially observable Markov decision processes
safe reinforcement learning
temporal abstraction
workLocation Montreal NERFINISHED

Referenced by (2)

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Satinder Singh coAuthor Doina Precup
Satinder Singh notableStudent Doina Precup