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AlphaSnake: Policy Iteration on a Nondeterministic NP-hard Markov Decision Process


Nov 17, 2022
Kevin Du, Ian Gemp, Yi Wu, Yingying Wu

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Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers


Oct 17, 2022
Luke Marris, Ian Gemp, Thomas Anthony, Andrea Tacchetti, Siqi Liu, Karl Tuyls

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* NeurIPS 2022 

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


Oct 05, 2022
Luke Marris, Marc Lanctot, Ian Gemp, Shayegan Omidshafiei, Stephen McAleer, Jerome Connor, Karl Tuyls, Thore Graepel

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Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments


Sep 22, 2022
Ian Gemp, Thomas Anthony, Yoram Bachrach, Avishkar Bhoopchand, Kalesha Bullard, Jerome Connor, Vibhavari Dasagi, Bart De Vylder, Edgar Duenez-Guzman, Romuald Elie, Richard Everett, Daniel Hennes, Edward Hughes, Mina Khan, Marc Lanctot, Kate Larson, Guy Lever, Siqi Liu, Luke Marris, Kevin R. McKee, Paul Muller, Julien Perolat, Florian Strub, Andrea Tacchetti, Eugene Tarassov, Zhe Wang, Karl Tuyls

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* Published in AI Communications 2022 

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Stochastic Parallelizable Eigengap Dilation for Large Graph Clustering


Jul 29, 2022
Elise van der Pol, Ian Gemp, Yoram Bachrach, Richard Everett

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* Presented at the ICML 2022 Workshop on Topology, Algebra, andGeometry in Machine Learning 

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The Generalized Eigenvalue Problem as a Nash Equilibrium


Jun 10, 2022
Ian Gemp, Charlie Chen, Brian McWilliams

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EigenGame Unloaded: When playing games is better than optimizing


Feb 08, 2021
Ian Gemp, Brian McWilliams, Claire Vernade, Thore Graepel

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EigenGame: PCA as a Nash Equilibrium


Oct 01, 2020
Ian Gemp, Brian McWilliams, Claire Vernade, Thore Graepel

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


Jun 17, 2020
Thomas Anthony, Tom Eccles, Andrea Tacchetti, János Kramár, Ian Gemp, Thomas C. Hudson, Nicolas Porcel, Marc Lanctot, Julien Pérolat, Richard Everett, Satinder Singh, Thore Graepel, Yoram Bachrach

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