Marc Lanctot
Scholar

Marc Lanctot

Google Scholar ID: E_oZZj8AAAAJ
Research Scientist, Google DeepMind
Artificial IntelligenceGame TheorySearchMultiagent SystemsReinforcement Learning
Citations & Impact
All-time
Citations
37,942
 
H-index
39
 
i10-index
65
 
Publications
20
 
Co-authors
181
list available
Resume (English only)
Academic Achievements
  • Co-authored 'Student of Games: A Unified Learning Algorithm for both Perfect and Imperfect Information Games' published in Science Advances (2023)
  • Published 'Population-based Evaluation in Repeated Rock-Paper-Scissors as a Benchmark for Multiagent Reinforcement Learning' in TMLR (2023)
  • Co-developed OpenSpiel: an open-source framework for reinforcement learning and search/planning in games, supporting diverse game types
  • Implemented and open-sourced various CFR and MCCFR algorithm variants applied to games like Liar's Dice
  • Developed hexIT, a Java library for hexagonal board representation and display, used in coursework and game implementations