Games

Publication

Equilibrium-Invariant Embedding, Metric Space, and Fundamental Set of 2×2 Normal-Form Games

Luke Marris, Ian Gemp, Georgios Piliouras

arXiv

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Scaling Goal-based Exploration via Pruning Proto-goals

Akhil Bagaria *, Ray Jiang, Ramana Kumar, Tom Schaul

arXiv

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Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Deep Equilibrium Networks

Luke Marris, Ian Gemp, Thomas Anthony, Andrea Tacchetti, Siqi Liu, Karl Tuyls

NeurIPS

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Game Theoretic Rating in n-player general-sum games with Equilibria

Luke Marris, Marc Lanctot, Ian Gemp, Shayegan Omidshafiei, Stephen Mcaleer, Jerome Connor, Karl Tuyls, Thore Graepel *

arXiv

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Developing, evaluating and scaling learning agents in multi-agent environments

Ian Gemp, Yoram Bachrach, Siqi Liu, Marc Lanctot, Karl Tuyls, Thomas Anthony, Kalesha Bullard, Avishkar Bhoopchand, Jerome Connor, Vibhavari Dasagi, Bart De Vylder, Edgar Duéñez-Guzmán, Romuald Elie, Richard Everett, Daniel Hennes, Edward Hughes, Guy Lever, Mina Khan, Kate Larson, Luke Marris, Kevin McKee, Paul Muller, Julien Perolat, Florian Strub, Andrea Tacchetti, Zhe Wang, Eugene Tarassov

AI Communications

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Publication

Of Correlated Equilibria in Mean-Field Games

Paul Muller, Romuald Elie, Mark Rowland, Julien Perolat, Karl Tuyls, Georgios Piliouras *, Mathieu Lauriere *, Matthieu Geist *, Sarah Perrin *, Olivier Pietquin *

arXiv

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BYOL-Explore: Exploration with Bootstrapped Prediction

Zhaohan Daniel Guo, Shantanu Thakoor, Miruna Pîslar, Bernardo Avila Pires, Florent Altché, Corentin Tallec, Alaa Saade, Daniele Calandriello, Jean-Bastien Grill, Yunhao Tang, Michal Valko, Rémi Munos, Mohammad Gheshlaghi Azar, Bilal Piot

arXiv

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Publication

Simplex Neural Population Learning: Any-Mixture Bayes-Optimality in Symmetric Zero-sum Games

Siqi Liu, Marc Lanctot, Luke Marris, Nicolas Heess, David Silver

ICML

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Learning Equilibria in Mean-Field Games: Introducing Mean-Field PSRO

Paul Muller, Mark Rowland, Romuald Elie, Julien Perolat, Karl Tuyls, G Piliouras *, Olivier Pietquin, M Lauriere *, Raphael Marinier *

AAMAS

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Sample-based Approximation of Nash in Large Many-Player Games via Gradient Descent

Ian Gemp, Rahul Savani *, Marc Lanctot, Yoram Bachrach, Thomas Anthony, Richard Everett, Andrea Tacchetti, Tom Eccles, János Kramár

AAMAS

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Publication

NeuPL: Neural Population Learning

Siqi Liu, Luke Marris, Daniel Hennes, Josh Merel *, Nicolas Heess, Thore Graepel *

ICLR

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Publication

Classification by Decomposition: A novel approach to classification of symmetric 2 × 2 games

Mikael Böörs *, Tobias Wängberg *, Tom Everitt, Marcus Hutter

arXiv

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Publication

Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers

Luke Marris, Paul Muller, Marc Lanctot, Karl Tuyls, Thore Graepel

ICML

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Publication

Learning in two-player zero-sum partially observable Markov games with perfect recall

Tadashi Kozuno *, Pierre Ménard *, Remi Munos, Michal Valko

NeurIPS

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Publication

Equilibrium Refinements for Multi-Agent Influence Diagrams: Theory and Practice

James Fox *, Lewis Hammond *, Tom Everitt, Alessandro Abate *, Michael Wooldridge *

AAMAS

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Publication

EigenGame Unloaded: When playing games is better than optimizing

Ian Gemp, Brian McWilliams, Claire Vernade, Thore Graepel *

ICLR

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Publication

Hindsight and Sequential Rationality of Correlated Play - arXiv

Dustin Morrill *, Ryan D'Orazio *, Reca Sarfati *, Marc Lanctot, James Wright *, Michael Bowling

arXiv

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Publication

Mastering Atari with Discrete World Models

Danijar Hafner *, Timothy Lillicrap, Mohammad Norouzi *, Jimmy Ba *

arXiv

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Publication

EigenGame: PCA as a Nash Equilibrium

Ian Gemp, Brian McWilliams, Claire Vernade, Thore Graepel

arXiv

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Publication

Assessing Game Balance with AlphaZero: Exploring Alternative Rule Sets in Chess

Nenad Tomasev, Ulrich Paquet, Demis Hassabis, Vladimir Kramnik *

arXiv

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Publication

The Advantage Regret-Matching Actor-Critic

Audrunas Gruslys, Marc Lanctot, Rémi Munos, Finbarr Timbers, Martin Schmid, Julien Perolat, Dustin Morrill, Vinicius Zambaldi, Jean-Baptiste Lespiau, John Schultz *, M Gheshlaghi Azar, Michael Bowling, Karl Tuyls

arXiv

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Publication

Fast Computation of Nash Equilibria in Imperfect Information Games

Rémi Munos, Julien Perolat, Jean-Baptiste Lespiau, Mark Rowland, Bart De Vylder, Marc Lanctot, Finbarr Timbers, Daniel Hennes, Shayegan Omidshafiei, Audrunas Gruslys, Mohammad Gheshlaghi Azar, Edward Lockhart, Karl Tuyls

ICML

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Publication

Learning to Play No-Press Diplomacy with Best Response Policy Iteration

Thomas Anthony, Tom Eccles, Andrea Tacchetti, János Kramár, Ian Gemp, Thomas Hudson, Nicolas Porcel, Marc Lanctot, Julien Pérolat, Richard Everett, Satinder Singh *, Thore Graepel, Yoram Bachrach

arXiv

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Publication

Discretization Drift in Two-Player Games

Mihaela Rosca, Yan Wu, Benoit Dherin *, David Barrett

ICML

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Publication

Approximate exploitability: Learning a best response in large games

Finbarr Timbers, Edward Lockhart, Martin Schmid, Marc Lanctot, Michael Bowling

arXiv

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Publications

Games