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Timothy Lillicrap

From Wikipedia, the free encyclopedia
Timothy P. Lillicrap
NationalityCanadian
Alma materQueen's University
Known forOptimal Control, Decision Making, Deep Learning, AlphaGo, AlphaZero
AwardsCfNS Award for Excellence
Governor General's Academic Medal
Scientific career
FieldsArtificial intelligence
Theoretical neuroscience
InstitutionsGoogle Deepmind, University College London
Doctoral advisorStephen H. Scott

Timothy P. Lillicrap is a Canadian neuroscientist and AI researcher, adjunct professor at University College London, and staff research scientist at Google DeepMind, where he has been involved in the AlphaGo and AlphaZero projects mastering the games of Go, Chess and Shogi. His research focuses on machine learning and statistics for optimal control and decision making, as well as using these mathematical frameworks to understand how the brain learns. He has developed algorithms and approaches for exploiting deep neural networks in the context of reinforcement learning, and new recurrent memory architectures for one-shot learning.[1]

His numerous contributions to the field have earned him a number of honors, including the Governor General's Academic Medal, an NSERC Fellowship, the Centre for Neuroscience Studies Award for Excellence, and numerous European Research Council grants. He has also won a number of Social Learning tournaments.

Biography

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Lillicrap attained a B.Sc. in cognitive science and artificial intelligence from University of Toronto in 2005, and a Ph.D. in systems neuroscience from Queen's University in 2012 under Stephen H. Scott. He then went on to do become a postdoctoral research fellow at Oxford University, and joined Google DeepMind as a research scientist in 2014. Following a series of promotions, he eventually became a DeepMind staff research scientist in 2016, a position he still holds as of 2021.[2][3]

In 2016, Lillicrap accepted an adjunct professorship at University College London.[4]

Select publications

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Timothy Lillicrap has an extensive publication record. A selection of works is listed below:

Notable awards

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  • NSERC Fellowship
  • Queen's University Graduate Award
  • Governor General's Academic Medal
  • Social Learning Strategies Tournament Winner
  • 2nd Social Learning Strategies Tournament Winner
  • European Research Council Proof of Concept Grant
  • Centre for Neuroscience Studies Award for Excellence
  • University College Howard Ferguson Entrance Scholarship
  • HPCVL / Sun Microsystems of Canada, Inc. Scholarship in Computational Sciences and Engineering

References

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  1. ^ "Timothy Lillicrap - research". contrastiveconvergence.net. Retrieved 2020-02-01.
  2. ^ Timothy Lillicrap (2014). Modelling Motor Cortex using Neural Network Controls Laws. Ph.D. Systems Neuroscience Thesis, Centre for Neuroscience Studies, Queen's University, advisor: Stephen H. Scott
  3. ^ "dblp: Timothy P. Lillicrap". dblp.uni-trier.de. Retrieved 2020-02-01.
  4. ^ Curriculum Vitae - Timothy P. Lillicrap (pdf)
  5. ^ Q-learning from Wikipedia
  6. ^ AlphaGo Zero: Learning from scratch Archived 2017-10-19 at the Wayback Machine by Demis Hassabis and David Silver, DeepMind, October 18, 2017
  7. ^ AlphaZero: Shedding new light on the grand games of chess, shogi and Go by David Silver, Thomas Hubert, Julian Schrittwieser and Demis Hassabis, DeepMind, December 03, 2018
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