Timothy P. Lillicrap

E442790

Timothy P. Lillicrap is a Canadian-born neuroscientist and DeepMind researcher known for influential work in deep reinforcement learning and neural network optimization.

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Timothy P. Lillicrap canonical 2

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Predicate Object
instanceOf DeepMind researcher
artificial intelligence researcher
computer scientist
neuroscientist
person
academicDegree PhD in neuroscience
affiliation DeepMind Technologies NERFINISHED
Google DeepMind NERFINISHED
citizenship Canada
coAuthorOf Continuous control with deep reinforcement learning NERFINISHED
Deterministic policy gradient algorithms NERFINISHED
papers on deep reinforcement learning for control
countryOfBirth Canada
educatedAt Queen's University at Kingston NERFINISHED
University of Toronto
employer DeepMind NERFINISHED
Google DeepMind NERFINISHED
fieldOfWork artificial intelligence
deep reinforcement learning
machine learning
neural network optimization
neuroscience
gender male
hasResearchInterest biologically inspired learning algorithms
control in continuous action spaces
deep learning
reinforcement learning
hasRole principal research scientist
research scientist
knownFor bridging neuroscience and machine learning
contributions to deep reinforcement learning for continuous control
research on biologically plausible learning in deep networks
language English
nationality Canadian
notableFor continuous control with deep reinforcement learning
deep reinforcement learning algorithms
deterministic policy gradient methods
work on neural network optimization methods
worksOn applications of reinforcement learning to control problems
optimization of deep neural networks
scalable deep reinforcement learning methods

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A3C introducedBy Timothy P. Lillicrap
DDPG introducedBy Timothy P. Lillicrap