ML
Marc Lanctot
cs.GTcs.AIcs.LGcs.MAstat.MLcs.CLcs.NEArtificial IntelligenceReinforcement, PsychologyVideo Games
On Valency
published · living versionsW_z8p2yx7z·v1 · currentpublished
Dueling Network Architectures for Deep Reinforcement Learning
with Ziyu Wang, Tom Schaul, Matteo Hessel, Hado van Hasselt +1
1 version
Preprints & journals
69 papers in the corpus · 2012–2026Modular Discovery of General Game-Playing Algorithms with Large Language Models2609.33115v1 · Zun Li, John Schultz, Marc Lanctot et al.2026 · 0 citationsarXiv
Game Arena: Strategic LLM Evaluation in Competitive Environments2609.31473v1 · Bovard Doerschuk-Tiberi, Yao Yan, Justin Chiu et al.2026 · 0 citationsarXiv
Nash without Numbers: A Social Choice Approach to Mixed Equilibria in Context-Ordinal Games2605.07996v1 · Ian Gemp, Crystal Qian, Marc Lanctot et al.2026 · 0 citationsarXiv
Code-Space Response Oracles: Generating Interpretable Multi-Agent Policies with Large Language Models2603.10098v1 · Daniel Hennes, Zun Li, John Schultz et al.2026 · 0 citationsarXiv
Discovering Multiagent Learning Algorithms with Large Language Models2602.16928v3 · Zun Li, John Schultz, Daniel Hennes et al.2026 · 0 citationsarXiv
Active Evaluation of General Agents: Problem Definition and Comparison of Baseline Algorithms2601.07651v2 · Marc Lanctot, Kate Larson, Ian Gemp et al.2026 · 0 citationsarXiv
Code World Models for General Game Playing2510.04542v1 · Wolfgang Lehrach, Daniel Hennes, Miguel Lazaro-Gredilla et al.2025 · 0 citationsarXiv
Re-evaluating Open-ended Evaluation of Large Language Models2502.20170v2 · Siqi Liu, Ian Gemp, Luke Marris et al.2025 · 0 citationsarXiv
Deviation Ratings: A General, Clone-Invariant Rating Method2502.11645v1 · Luke Marris, Siqi Liu, Ian Gemp et al.2025 · 0 citationsarXiv
Jackpot! Alignment as a Maximal Lottery2501.19266v1 · Roberto-Rafael Maura-Rivero, Marc Lanctot, Francesco Visin et al.2025 · 1 citationarXiv
Mastering Board Games by External and Internal Planning with Language Models2412.12119v3 · John Schultz, Jakub Adamek, Matej Jusup et al.2024 · 2 citationsarXiv
Soft Condorcet Optimization for Ranking of General Agents2411.00119v4 · Marc Lanctot, Kate Larson, Michael Kaisers et al.2024 · 1 citationAAMAS 2025
Learning in Games with Progressive Hiding2409.03875v3 · Benjamin Heymann, Marc Lanctot2024 · 0 citationsProceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems 2025
Easy as ABCs: Unifying Boltzmann Q-Learning and Counterfactual Regret Minimization2402.11835v1 · Luca D'Amico-Wong, Hugh Zhang, Marc Lanctot et al.2024 · 0 citationsarXiv
Approximating the Core via Iterative Coalition Sampling2402.03928v1 · Ian Gemp, Marc Lanctot, Luke Marris et al.2024 · 1 citationarXiv
Steering Language Models with Game-Theoretic Solvers2402.01704v3 · Ian Gemp, Roma Patel, Yoram Bachrach et al.2024 · 3 citationsarXiv
Neural Population Learning beyond Symmetric Zero-sum Games2401.05133v1 · Siqi Liu, Luke Marris, Marc Lanctot et al.2024 · 1 citationarXiv
Evaluating Agents using Social Choice Theory2312.03121v4 · Marc Lanctot, Kate Larson, Yoram Bachrach et al.2023 · 1 citationarXiv
Student of Games: A unified learning algorithm for both perfect and imperfect information games.37967182 · Schmid, Martin, Moravčík, Matej, Burch, Neil et al.2023 · 21 citationsScience advances. 2023;9(46):eadg3256
Learning not to Regret2303.01074v2 · David Sychrovsk'y, Michal Sustr, Elnaz Davoodi et al.2023 · 2 citationsarXiv
Population-based Evaluation in Repeated Rock-Paper-Scissors as a Benchmark for Multiagent Reinforcement Learning2303.03196v2 · Marc Lanctot, John Schultz, Neil Burch et al.2023 · 3 citationsarXiv
Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning2302.00797v4 · Zun Li, Marc Lanctot, Kevin R. McKee et al.2023 · 1 citationProc. 34th Int. Joint Conf. Artif. Intell. (IJCAI 2025), pp. 161-169
Mastering the game of Stratego with model-free multiagent reinforcement learning.36454847 · Perolat, Julien, De Vylder, Bart, Hennes, Daniel et al.2022 · 160 citationsScience (New York, N.Y.). 2022;378(6623):990-996
Game Theoretic Rating in N-player general-sum games with Equilibria2210.02205v1 · Luke Marris, Marc Lanctot, Ian Gemp et al.2022 · 0 citationsarXiv
Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments2209.10958v1 · Ian Gemp, Thomas Anthony, Yoram Bachrach et al.2022 · 3 citationsarXiv
A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games2206.05825v4 · Samuel Sokota, Ryan D'Orazio, J. Zico Kolter et al.2022 · 6 citationsarXiv
ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret2206.04122v2 · Stephen McAleer, Gabriele Farina, Marc Lanctot et al.2022 · 1 citationarXiv
Simplex Neural Population Learning: Any-Mixture Bayes-Optimality in Symmetric Zero-sum Games2205.15879v4 · Siqi Liu, Marc Lanctot, Luke Marris et al.2022 · 1 citationProceedings of the 39th International Conference on Machine Learning (ICML 2022)
Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games: Corrections2205.12031v2 · Dustin Morrill, Ryan D'Orazio, Marc Lanctot et al.2022 · 0 citationsarXiv
Anytime PSRO for Two-Player Zero-Sum Games2201.07700v2 · Stephen McAleer, Kevin Wang, John Lanier et al.2022 · 5 citationsarXiv
Dynamic population-based meta-learning for multi-agent communication with natural language2110.14241v1 · Abhinav Gupta, Marc Lanctot, Angeliki Lazaridou2021 · 7 citationsarXiv
Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers2106.09435v3 · Luke Marris, Paul Muller, Marc Lanctot et al.2021 · 3 citationsarXiv
Sample-based Approximation of Nash in Large Many-Player Games via Gradient Descent2106.01285v3 · Ian Gemp, Rahul Savani, Marc Lanctot et al.2021 · 3 citationsarXiv
Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games2102.06973v7 · Dustin Morrill, Ryan D'Orazio, Marc Lanctot et al.2021 · 9 citationsarXiv
Solving Common-Payoff Games with Approximate Policy Iteration2101.04237v1 · Samuel Sokota, Edward Lockhart, Finbarr Timbers et al.2021 · 7 citationsarXiv
Hindsight and Sequential Rationality of Correlated Play2012.05874v7 · Dustin Morrill, Ryan D'Orazio, Reca Sarfati et al.2020 · 15 citationsarXiv
Negotiating Team Formation Using Deep Reinforcement Learning2010.10380v1 · Yoram Bachrach, Richard Everett, Edward Hughes et al.2020 · 40 citationsArtificial Intelligence 288 (2020): 103356
The Advantage Regret-Matching Actor-Critic2008.12234v1 · Audrūnas Gruslys, Marc Lanctot, R'emi Munos et al.2020 · 11 citationsarXiv
Sound Algorithms in Imperfect Information Games2006.08740v2 · Michal Sustr, Martin Schmid, Matej Moravc'ik et al.2020 · 3 citationsarXiv
Learning to Play No-Press Diplomacy with Best Response Policy Iteration2006.04635v4 · Thomas Anthony, Tom Eccles, Andrea Tacchetti et al.2020 · 24 citationsarXiv
Approximate exploitability: Learning a best response in large games2004.09677v5 · Finbarr Timbers, Nolan Bard, Edward Lockhart et al.2020 · 7 citationsarXiv
From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization2002.08456v1 · Julien Perolat, Remi Munos, Jean-Baptiste Lespiau et al.2020 · 21 citationsarXiv
A Generalized Training Approach for Multiagent Learning1909.12823v2 · Paul Muller, Shayegan Omidshafiei, Mark Rowland et al.2019 · 49 citationsarXiv
OpenSpiel: A Framework for Reinforcement Learning in Games1908.09453v6 · Marc Lanctot, Edward Lockhart, Jean-Baptiste Lespiau et al.2019 · 103 citationsarXiv
α-Rank: Multi-Agent Evaluation by Evolution.31289288 · Omidshafiei, Shayegan, Papadimitriou, Christos, Piliouras, Georgios et al.2020 · 70 citationsScientific reports. 2019;9(1):9937
Neural Replicator Dynamics1906.00190v5 · Daniel Hennes, Dustin Morrill, Shayegan Omidshafiei et al.2019 · 11 citationsarXiv
Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent1903.05614v4 · Edward Lockhart, Marc Lanctot, Julien P'erolat et al.2019 · 44 citationsarXiv
-Rank: Multi-Agent Evaluation by Evolution1903.01373v4 · Shayegan Omidshafiei, Christos Papadimitriou, Georgios Piliouras et al.2019 · 13 citationsarXiv
Autocurricula and the Emergence of Innovation from Social Interaction: A Manifesto for Multi-Agent Intelligence Research1903.00742v2 · Joel Z. Leibo, Edward Hughes, Marc Lanctot et al.2019 · 59 citationsarXiv
The Hanabi Challenge: A New Frontier for AI Research1902.00506v2 · Nolan Bard, Jakob N. Foerster, Sarath Chandar et al.2019 · 237 citationsarXiv
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