Difference between revisions of "Marc Lanctot"

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* [[Marc Lanctot]] ('''2013'''). ''SIA Wins Surakarta Tournament''. [[ICGA Journal#36_4|ICGA Journal, Vol. 36, No. 4]] » [[17th Computer Olympiad#Surakarta|17th Computer Olympiad]]
 
* [[Marc Lanctot]] ('''2013'''). ''SIA Wins Surakarta Tournament''. [[ICGA Journal#36_4|ICGA Journal, Vol. 36, No. 4]] » [[17th Computer Olympiad#Surakarta|17th Computer Olympiad]]
 
* [[Tom Pepels]], [[Tristan Cazenave]], [[Mark Winands]], [[Marc Lanctot]] ('''2014'''). ''Minimizing Simple and Cumulative Regret in Monte-Carlo Tree Search''. [[ECAI CGW 2014]]
 
* [[Tom Pepels]], [[Tristan Cazenave]], [[Mark Winands]], [[Marc Lanctot]] ('''2014'''). ''Minimizing Simple and Cumulative Regret in Monte-Carlo Tree Search''. [[ECAI CGW 2014]]
 +
* [[Marc Lanctot]], [[Mark Winands]], [[Tom Pepels]], [[Nathan Sturtevant]] ('''2014'''). ''Monte Carlo Tree Search with Heuristic Evaluations using Implicit Minimax Backups''. [https://dblp.uni-trier.de/db/conf/cig/cig2014.html#LanctotWPS14 CIG 2014], [https://arxiv.org/abs/1406.0486 arXiv:1406.0486]
 
==2015 ...==
 
==2015 ...==
 
* [[Johannes Heinrich]], [[Marc Lanctot]], [[David Silver]] ('''2015'''). ''Fictitious Self-Play in Extensive-Form Games''. [http://proceedings.mlr.press/v37/ JMLR: W&CP, Vol. 37], [http://proceedings.mlr.press/v37/heinrich15.pdf pdf]
 
* [[Johannes Heinrich]], [[Marc Lanctot]], [[David Silver]] ('''2015'''). ''Fictitious Self-Play in Extensive-Form Games''. [http://proceedings.mlr.press/v37/ JMLR: W&CP, Vol. 37], [http://proceedings.mlr.press/v37/heinrich15.pdf pdf]

Revision as of 10:27, 7 April 2021

Home * People * Marc Lanctot

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

[5]

2005 ...

2010 ...

2015 ...

External Links

References

  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/contributing.md at master · deepmind/open_spiel · GitHub

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