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Lanctot, Marc

  1. Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
    2017/12/05 by David Silver, Silver, David, Thomas Hubert +23 · 5 voices · 212 citations
    Computer Science · #Artificial Intelligence in Games #Reinforcement Learning in Robotics #Video Analysis and Summarization
  2. Dueling Network Architectures for Deep Reinforcement Learning
    2015/11/20 by Ziyu Wang, Tom Schaul, Wang, Ziyu +9 · 178 citations
    Computer Science · Engineering · #Reinforcement Learning in Robotics #Adversarial Robustness in Machine Learning #Autonomous Vehicle Technology and Safety
  3. Deep Q-learning from Demonstrations
    2017/04/12 by Todd Hester, Matej Vecerík, Matej Vecerik +27 · 2 voices · 17 citations
    Computer Science · Economics, Econometrics and Finance · #Reinforcement Learning in Robotics #Software Engineering Research #Sports Analytics and Performance #cs.AI #cs.LG
  4. Value-Decomposition Networks For Cooperative Multi-Agent Learning
    2017/06/16 by Sunehag, Peter, Lever, Guy, Gruslys, Audrunas +8 · 63 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #I.2.11
  5. A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
    2017/11/02 by Marc Lanctot, Lanctot, Marc, Vinícius Zambaldi +16 · 1 voice · 21 citations
    Computer Science · #Artificial Intelligence in Games #Evolutionary Algorithms and Applications #Reinforcement Learning in Robotics #cs.AI #cs.GT #cs.LG #cs.MA
  6. Memory-Efficient Backpropagation Through Time
    2016/06/10 by Audrūnas Gruslys, Gruslys, Audrūnas, Remi Munos +8 · 1 voice · 8 citations
    Computer Science · #Advanced Neural Network Applications #Machine Learning and Algorithms #Neural Networks and Applications #cs.LG #cs.NE
  7. OpenSpiel: A Framework for Reinforcement Learning in Games
    2019/08/26 by Marc Lanctot, Lanctot, Marc, Edward Lockhart +50 · 21 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #Computer Science and Game Theory (cs.GT) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA) #Reinforcement Learning in Robotics
  8. Multi-agent Reinforcement Learning in Sequential Social Dilemmas
    2017/02/10 by Leibo, Joel Z., Zambaldi, Vinicius, Lanctot, Marc +2 · 14 citations
    #Artificial Intelligence (cs.AI) #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA)
  9. α-Rank: Multi-Agent Evaluation by Evolution
    2019/03/04 by Shayegan Omidshafiei, Omidshafiei, Shayegan, Christos Papadimitriou +21 · 1 voice · 4 citations
    Computer Science · Economics, Econometrics and Finance · Social Sciences · #Artificial Intelligence in Games #Evolutionary Game Theory and Cooperation #Sports Analytics and Performance #cs.GT #cs.MA
  10. A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games
    2022/06/12 by Samuel Sokota, Sokota, Samuel, Ryan D'Orazio +13 · 1 voice · 9 citations
    Computer Science · Decision Sciences · Social Sciences · #Experimental Behavioral Economics Studies #Game Theory and Applications #Reinforcement Learning in Robotics #cs.AI #cs.GT #cs.LG
  11. From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization
    2020/02/19 by Perolat, Julien, Munos, Remi, Lespiau, Jean-Baptiste +10 · 8 citations
    #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  12. Emergent Communication through Negotiation
    2018/04/11 by Kris Cao, Cao, Kris, Angeliki Lazaridou +9 · 7 citations
    Decision Sciences · Physics and Astronomy · Social Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Evolutionary Game Theory and Cooperation #FOS: Computer and information sciences #Game Theory and Applications #Machine Learning (cs.LG) #Multiagent Systems (cs.MA) #Opinion Dynamics and Social Influence
  13. Autocurricula and the Emergence of Innovation from Social Interaction: A Manifesto for Multi-Agent Intelligence Research
    2019/03/02 by Joel Z. Leibo, Edward Hughes, Leibo, Joel Z. +5 · 9 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Science and Game Theory (cs.GT) #Evolutionary Algorithms and Applications #FOS: Biological sciences #FOS: Computer and information sciences #Multiagent Systems (cs.MA) #Neural and Evolutionary Computing (cs.NE) #Neurons and Cognition (q-bio.NC)
  14. Mastering Board Games by External and Internal Planning with Language Models
    2024/12/02 by John Schultz, Schultz, John, Jakub Adamek +29 · 5 voices · 7 citations
    Psychology · Engineering · Computer Science · #Educational Games and Gamification #BIM and Construction Integration #Artificial Intelligence in Games
  15. Steering Language Models with Game-Theoretic Solvers
    2024/01/24 by Ian Gemp, Gemp, Ian, Roma Patel +15 · 3 voices · 7 citations
    Computer Science · #Natural Language Processing Techniques
  16. Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent
    2019/03/13 by Lockhart, Edward, Lanctot, Marc, Pérolat, Julien +4 · 4 citations
    #Artificial Intelligence (cs.AI) #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  17. Learning to Play No-Press Diplomacy with Best Response Policy Iteration
    2020/06/08 by Thomas Anthony, Anthony, Thomas, Tom Eccles +25 · 2 voices · 1 citation
    Computer Science · Economics, Econometrics and Finance · #Artificial Intelligence in Games #Reinforcement Learning in Robotics #Sports Analytics and Performance #cs.AI #cs.GT #cs.LG #cs.MA #stat.ML
  18. ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret
    2022/06/08 by McAleer, Stephen, Farina, Gabriele, Lanctot, Marc +1 · 4 citations
    #Artificial Intelligence (cs.AI) #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  19. Code World Models for General Game Playing
    2025/10/06 by Wolfgang Lehrach, Lehrach, Wolfgang, Daniel Hennes +32 · 3 voices · 5 citations
    Computer Science · #Artificial Intelligence in Games #cs.AI
  20. Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games using Baselines
    2018/09/09 by Schmid, Martin, Burch, Neil, Lanctot, Marc +3 · 2 citations
    #Artificial Intelligence (cs.AI) #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences
  21. Evaluating Agents using Social Choice Theory
    2023/12/05 by Marc Lanctot, Kate Larson, Lanctot, Marc +17 · 1 voice · 3 citations
    Economics, Econometrics and Finance · Social Sciences · #Experimental Behavioral Economics Studies #Game Theory and Voting Systems #Sports Analytics and Performance #cs.AI #cs.GT #cs.MA
  22. Actor-Critic Policy Optimization in Partially Observable Multiagent\n Environments
    2018/10/21 by Sriram Srinivasan, Srinivasan, Sriram, Marc Lanctot +11 · 2 citations
    Computer Science · Decision Sciences · Economics, Econometrics and Finance · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #Artificial Intelligence in Games #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multiagent Systems (cs.MA) #Reinforcement Learning in Robotics #Sports Analytics and Performance
  23. Approximate exploitability: Learning a best response in large games
    2020/04/20 by Timbers, Finbarr, Bard, Nolan, Lockhart, Edward +6 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  24. Sample-based Approximation of Nash in Large Many-Player Games via Gradient Descent
    2021/06/02 by Gemp, Ian, Savani, Rahul, Lanctot, Marc +6 · 2 citations
    #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences
  25. Re-evaluating Open-ended Evaluation of Large Language Models
    2025/02/27 by Siqi Liu, Liu, Siqi, Ian Gemp +9 · 1 voice · 5 citations
    Computer Science · #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling #cs.CL #cs.GT #cs.LG #stat.ML
  26. No-Regret Learning in Extensive-Form Games with Imperfect Recall
    2012/05/03 by Lanctot, Marc, Gibson, Richard, Burch, Neil +2 · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences
  27. Convolution by Evolution: Differentiable Pattern Producing Networks
    2016/06/08 by Fernando, Chrisantha, Banarse, Dylan, Reynolds, Malcolm +5 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
  28. Soft Condorcet Optimization for Ranking of General Agents
    2024/10/31 by Marc Lanctot, Kate Larson, Lanctot, Marc +17 · 1 voice · 4 citations
    Computer Science · Decision Sciences · #Advanced Algebra and Logic #Auction Theory and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multi-Criteria Decision Making #Multiagent Systems (cs.MA) #cs.LG #cs.MA
  29. A Generalized Training Approach for Multiagent Learning
    2019/09/27 by Muller, Paul, Omidshafiei, Shayegan, Rowland, Mark +12 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA)
  30. The Advantage Regret-Matching Actor-Critic
    2020/08/27 by Gruslys, Audrūnas, Lanctot, Marc, Munos, Rémi +10 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  31. Learning not to Regret
    2023/03/02 by Sychrovský, David, Šustr, Michal, Davoodi, Elnaz +3 · 1 citation
    #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  32. Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments
    2022/09/22 by Ian Gemp, Gemp, Ian, T Anthony +51 · 1 citation
    Computer Science · #Reinforcement Learning in Robotics
  33. Population-based Evaluation in Repeated Rock-Paper-Scissors as a Benchmark for Multiagent Reinforcement Learning
    2023/03/02 by Lanctot, Marc, Schultz, John, Burch, Neil +4 · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA)
  34. Deviation Ratings: A General, Clone-Invariant Rating Method
    2025/02/17 by Luke Marris, Siqi Liu, Marris, Luke +7 · 2 voices · 1 citation
    #cs.GT #cs.CL #cs.MA #stat.OT
  35. Approximating the Core via Iterative Coalition Sampling
    2024/02/06 by Ian Gemp, Gemp, Ian, Marc Lanctot +25 · 1 citation
    Chemistry · Economics, Econometrics and Finance · Mathematics · #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Game Theory and Voting Systems #Metal-Organic Frameworks: Synthesis and Applications #Multiagent Systems (cs.MA) #Statistical Methods and Inference