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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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Proximal Gradient Temporal Difference Learning: Stable Reinforcement Learning with Polynomial Sample Complexity


Jun 06, 2020
Bo Liu, Ian Gemp, Mohammad Ghavamzadeh, Ji Liu, Sridhar Mahadevan, Marek Petrik

* Journal of Artificial Intelligence (JAIR) 

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Social diversity and social preferences in mixed-motive reinforcement learning


Feb 12, 2020
Kevin R. McKee, Ian Gemp, Brian McWilliams, Edgar A. Duéñez-Guzmán, Edward Hughes, Joel Z. Leibo

* Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020) 

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Social Diversity and Social Preferences in Mixed-Motive Reinforcement Learning


Feb 06, 2020
Kevin R. McKee, Ian Gemp, Brian McWilliams, Edgar A. Duéñez-Guzmán, Edward Hughes, Joel Z. Leibo


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Global Convergence to the Equilibrium of GANs using Variational Inequalities


Sep 11, 2018
Ian Gemp, Sridhar Mahadevan


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Online Monotone Games


Oct 19, 2017
Ian Gemp, Sridhar Mahadevan


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Inverting Variational Autoencoders for Improved Generative Accuracy


Aug 24, 2017
Ian Gemp, Ishan Durugkar, Mario Parente, M. Darby Dyar, Sridhar Mahadevan


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Generative Multi-Adversarial Networks


Mar 02, 2017
Ishan Durugkar, Ian Gemp, Sridhar Mahadevan

* Accepted as a conference paper (poster) at ICLR 2017 

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Online Monotone Optimization


Aug 29, 2016
Ian Gemp, Sridhar Mahadevan

* 23 pages, 6 figures 

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Proximal Reinforcement Learning: A New Theory of Sequential Decision Making in Primal-Dual Spaces


May 26, 2014
Sridhar Mahadevan, Bo Liu, Philip Thomas, Will Dabney, Steve Giguere, Nicholas Jacek, Ian Gemp, Ji Liu

* 121 pages 

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