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Marc Lanctot,
a Canadian computer scientist at Google DeepMind, and before post-doctoral researcher for the Maastricht University Games and AI Group [1] of Mark Winands. He holds a M.Sc. from McGill University in 2005 [2] , and a Ph.D. from University of Alberta in 2013 [3] . Marc is generally interested in AI, machine learning, and games. His current research focus is on sampling algorithms for equilibrium computation and decision-making, as well as variants of Monte-Carlo Tree Search.
Marc Lanctot [4]

Selected Publications


2005 ...

2010 ...

2015 ...

External Links


  1. ^ Games and AI Group
  2. ^ Marc Lanctot (2005). Adaptive Virtual Environments in Multi-player Computer Games. MSc. Thesis, McGill University
  3. ^ Marc Lanctot (2013). Monte Carlo Sampling and Regret Minimization for Equilibrium Computation and Decision-Making in Large Extensive Form Games. Ph.D. thesis, University of Alberta, advisor Michael Bowling
  4. ^ Marc Lanctot's Web Page
  5. ^ dblp: Marc Lanctot

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