Will Dabney

E751636

Will Dabney is a machine learning researcher known for his influential work in deep reinforcement learning, including co-developing the Rainbow DQN algorithm.

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Will Dabney canonical 1

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Predicate Object
instanceOf machine learning researcher
person
citizenship United States of America
coAuthor Alexandre P. Barreto NERFINISHED
Georg Ostrovski NERFINISHED
Hado van Hasselt NERFINISHED
Marc G. Bellemare NERFINISHED
Meire Fortunato NERFINISHED
Nando de Freitas NERFINISHED
Rémi Munos NERFINISHED
Shane Legg NERFINISHED
doctoralThesisTopic reinforcement learning
educatedAt Colorado State University NERFINISHED
University of Massachusetts Amherst NERFINISHED
employer Google DeepMind NERFINISHED
fieldOfWork artificial intelligence
deep reinforcement learning
machine learning
reinforcement learning
gender male
hasAcademicAdvisor Andrew G. Barto NERFINISHED
influencedBy Andrew G. Barto NERFINISHED
Richard S. Sutton NERFINISHED
knownFor C51 distributional DQN NERFINISHED
co-developing the Rainbow DQN algorithm
deep reinforcement learning research
distributional reinforcement learning
implicit quantile networks (IQN)
quantile regression DQN (QR-DQN)
research on value distribution in reinforcement learning
languageSpoken English
memberOf DeepMind NERFINISHED
notableWork A Distributional Perspective on Reinforcement Learning NERFINISHED
Distributional Reinforcement Learning with Quantile Regression NERFINISHED
Implicit Quantile Networks for Distributional Reinforcement Learning NERFINISHED
Rainbow: Combining Improvements in Deep Reinforcement Learning NERFINISHED
researchInterest distributional value functions
exploration in reinforcement learning
representation learning in RL
value-based reinforcement learning
workLocation London, England
surface form: London

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Rainbow DQN proposedBy Will Dabney