Chelsea Finn

E639785

Chelsea Finn is a prominent computer scientist and roboticist known for her influential research in meta-learning, reinforcement learning, and generalizable robot learning.

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Chelsea Finn canonical 1

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Statements (48)

Predicate Object
instanceOf person
roboticist
almaMater Massachusetts Institute of Technology
University of California, Berkeley
awardReceived NSF CAREER Award
Sloan Research Fellowship
countryOfCitizenship United States of America
degree PhD in computer science
doctoralAdvisor Sergey Levine
educatedAt Massachusetts Institute of Technology
University of California, Berkeley
employer Stanford University
fieldOfWork artificial intelligence
machine learning
meta-learning
reinforcement learning
robot learning
gender female
hasAcademicAdvisor Sergey Levine
hasPublicationType journal articles
peer-reviewed conference papers
hasResearchArea deep learning for control
imitation learning
multi-task learning
online adaptation in robotics
hasRole faculty member
principal investigator
knownFor model-agnostic meta-learning
research on generalizable robot learning
research on meta-learning
research on reinforcement learning
languageOfWorkOrName English
memberOf Stanford Computer Science Department faculty
notableWork Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
occupation assistant professor
publishesIn CoRL
ICLR
ICML
NeurIPS
RSS
researchInterest few-shot learning
generalization in robotic control
meta-reinforcement learning
self-supervised robot learning
unsupervised learning for robotics
teaches graduate courses in machine learning
graduate courses in robotics
workInstitution Stanford Artificial Intelligence Laboratory

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Full triples — surface form annotated when it differs from this entity's canonical label.

Sergey Levine notableStudent Chelsea Finn