Marc Lanctot

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Marc Lanctot [1]

Marc Lanctot,
a Canadian computer scientist at Google DeepMind involved in the AlphaZero project, and before post-doctoral researcher for the Maastricht University Games and AI Group [2] of Mark Winands. He holds a M.Sc. from McGill University in 2005 [3] , and a Ph.D. from University of Alberta in 2013 [4] . 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.

Selected Publications


2005 ...

2010 ...

2015 ...

2020 ...

External Links


  1. Marc Lanctot's Web Page
  2. Games and AI Group
  3. Marc Lanctot (2005). Adaptive Virtual Environments in Multi-player Computer Games. MSc. Thesis, McGill University
  4. 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
  5. dblp: Marc Lanctot
  6. 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
  7. open_spiel/ at master · deepmind/open_spiel · GitHub

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