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Player of Games


Dec 06, 2021
Martin Schmid, Matej Moravcik, Neil Burch, Rudolf Kadlec, Josh Davidson, Kevin Waugh, Nolan Bard, Finbarr Timbers, Marc Lanctot, Zach Holland, Elnaz Davoodi, Alden Christianson, Michael Bowling

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Search in Imperfect Information Games


Nov 10, 2021
Martin Schmid

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* doctoral thesis 

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Solving Common-Payoff Games with Approximate Policy Iteration


Jan 11, 2021
Samuel Sokota, Edward Lockhart, Finbarr Timbers, Elnaz Davoodi, Ryan D'Orazio, Neil Burch, Martin Schmid, Michael Bowling, Marc Lanctot

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* AAAI 2021 

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The Advantage Regret-Matching Actor-Critic


Aug 27, 2020
Audrūnas Gruslys, Marc Lanctot, Rémi Munos, Finbarr Timbers, Martin Schmid, Julien Perolat, Dustin Morrill, Vinicius Zambaldi, Jean-Baptiste Lespiau, John Schultz, Mohammad Gheshlaghi Azar, Michael Bowling, Karl Tuyls

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Approximate exploitability: Learning a best response in large games


Apr 20, 2020
Finbarr Timbers, Edward Lockhart, Martin Schmid, Marc Lanctot, Michael Bowling

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Low-Variance and Zero-Variance Baselines for Extensive-Form Games


Jul 22, 2019
Trevor Davis, Martin Schmid, Michael Bowling

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* Under review for NeurIPS 2019 

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Rethinking Formal Models of Partially Observable Multiagent Decision Making


Jun 26, 2019
Vojtěch Kovařík, Martin Schmid, Neil Burch, Michael Bowling, Viliam Lisý

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Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games using Baselines


Sep 09, 2018
Martin Schmid, Neil Burch, Marc Lanctot, Matej Moravcik, Rudolf Kadlec, Michael Bowling

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DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker


Mar 03, 2017
Matej Moravčík, Martin Schmid, Neil Burch, Viliam Lisý, Dustin Morrill, Nolan Bard, Trevor Davis, Kevin Waugh, Michael Johanson, Michael Bowling

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AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games


Jan 19, 2017
Neil Burch, Martin Schmid, Matej Moravčík, Michael Bowling

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* To appear at AAAI-17 Workshop on Computer Poker and Imperfect Information Games 

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