Researcher
Marc Lanctot
Current role not listed
Lanctot develops methods for agents that learn in competitive and cooperative games. He helped create AlphaGo and founded OpenSpiel, an open framework that lets researchers compare reinforcement-learning, planning and game-theoretic algorithms across many kinds of games.
Career & education
Google DeepMind2014-2026
Maastricht University2012-2014
McGill University
University of AlbertaWork and education history is primarily focused on AI-relevant roles and may not be comprehensive.
Citation Trend
Selected contributions
Mastering the game of Go with deep neural networks and tree search
With David Silver, Aja Huang, Chris J. Maddison, Arthur Guez, Laurent Sifre, George van den Driessche, Julian Schrittwieser and others ·AlphaGo combined neural networks and search to beat a professional Go player.
A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
With David Silver, Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou, Matthew Lai, Arthur Guez, Laurent Sifre and others ·AlphaZero learned chess, shogi and Go through self-play rather than human examples.
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Reviewed August 9, 2026 · Checked for accuracy and new information.