Schmid, Martin

11 publications

AAAI 2024 Learning Not to Regret David Sychrovsky, Michal Sustr, Elnaz Davoodi, Michael Bowling, Marc Lanctot, Martin Schmid

NeurIPSW 2023 Global CFR: Meta-Learning in Self-Play Regret Minimization David Sychrovský, Michal Sustr, Michael Bowling, Martin Schmid

IJCAI 2023 Rethinking Formal Models of Partially Observable Multiagent Decision Making (Extended Abstract) Vojtech Kovarík, Martin Schmid, Neil Burch, Michael Bowling, Viliam Lisý

IJCAI 2022 Approximate Exploitability: Learning a Best Response Finbarr Timbers, Nolan Bard, Edward Lockhart, Marc Lanctot, Martin Schmid, Neil Burch, Julian Schrittwieser, Thomas Hubert, Michael Bowling

AAAI 2021 Solving Common-Payoff Games with Approximate Policy Iteration Samuel Sokota, Edward Lockhart, Finbarr Timbers, Elnaz Davoodi, Ryan D'Orazio, Neil Burch, Martin Schmid, Michael Bowling, Marc Lanctot

ICML 2020 Low-Variance and Zero-Variance Baselines for Extensive-Form Games Trevor Davis, Martin Schmid, Michael Bowling

JAIR 2019 Revisiting CFR+ and Alternating Updates Neil Burch, Matej Moravcik, Martin Schmid

AAAI 2019 Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games Using Baselines Martin Schmid, Neil Burch, Marc Lanctot, Matej Moravcik, Rudolf Kadlec, Michael Bowling

AAAI 2018 AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games Neil Burch, Martin Schmid, Matej Moravcik, Dustin Morrill, Michael Bowling

AAAI 2016 Refining Subgames in Large Imperfect Information Games Matej Moravcik, Martin Schmid, Karel Ha, Milan Hladík, Stephen J. Gaukrodger

AAAI 2014 Bounding the Support Size in Extensive Form Games with Imperfect Information Martin Schmid, Matej Moravcik, Milan Hladík