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.
All labels observed (1)
| Label | Occurrences |
|---|---|
| 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)
Full triples — surface form annotated when it differs from this entity's canonical label.