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Martin Schmid
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Publications
- 2023
- [c19]Vojtech Kovarík, Martin Schmid, Neil Burch, Michael Bowling, Viliam Lisý:
Rethinking Formal Models of Partially Observable Multiagent Decision Making (Extended Abstract). IJCAI 2023: 6920-6924 - 2022
- [j7]Vojtech Kovarík, Martin Schmid, Neil Burch, Michael Bowling, Viliam Lisý:
Rethinking formal models of partially observable multiagent decision making. Artif. Intell. 303: 103645 (2022) - [c18]Finbarr Timbers, Nolan Bard, Edward Lockhart, Marc Lanctot, Martin Schmid, Neil Burch, Julian Schrittwieser, Thomas Hubert, Michael Bowling:
Approximate Exploitability: Learning a Best Response. IJCAI 2022: 3487-3493 - 2021
- [c17]Samuel Sokota, Edward Lockhart, Finbarr Timbers, Elnaz Davoodi, Ryan D'Orazio, Neil Burch, Martin Schmid, Michael Bowling, Marc Lanctot:
Solving Common-Payoff Games with Approximate Policy Iteration. AAAI 2021: 9695-9703 - [c16]Michal Sustr, Martin Schmid, Matej Moravcík, Neil Burch, Marc Lanctot, Michael Bowling:
Sound Algorithms in Imperfect Information Games. AAMAS 2021: 1674-1676 - [i14]Samuel Sokota, Edward Lockhart, Finbarr Timbers, Elnaz Davoodi, Ryan D'Orazio, Neil Burch, Martin Schmid, Michael Bowling, Marc Lanctot:
Solving Common-Payoff Games with Approximate Policy Iteration. CoRR abs/2101.04237 (2021) - [i12]Martin Schmid, Matej Moravcik, Neil Burch, Rudolf Kadlec, Joshua Davidson, Kevin Waugh, Nolan Bard, Finbarr Timbers, Marc Lanctot, G. Zacharias Holland, Elnaz Davoodi, Alden Christianson, Michael Bowling:
Player of Games. CoRR abs/2112.03178 (2021) - 2020
- [i10]Michal Sustr, Martin Schmid, Matej Moravcík, Neil Burch, Marc Lanctot, Michael Bowling:
Sound Search in Imperfect Information Games. CoRR abs/2006.08740 (2020) - 2019
- [j4]Neil Burch, Matej Moravcik, Martin Schmid:
Revisiting CFR+ and Alternating Updates. J. Artif. Intell. Res. 64: 429-443 (2019) - [c14]Martin Schmid, Neil Burch, Marc Lanctot, Matej Moravcik, Rudolf Kadlec, Michael Bowling:
Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games Using Baselines. AAAI 2019: 2157-2164 - [i8]Vojtech Kovarík, Martin Schmid, Neil Burch, Michael Bowling, Viliam Lisý:
Rethinking Formal Models of Partially Observable Multiagent Decision Making. CoRR abs/1906.11110 (2019) - 2018
- [c13]Neil Burch, Martin Schmid, Matej Moravcik, Dustin Morrill, Michael Bowling:
AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games. AAAI 2018: 949-956 - [i6]Martin Schmid, Neil Burch, Marc Lanctot, Matej Moravcik, Rudolf Kadlec, Michael Bowling:
Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games using Baselines. CoRR abs/1809.03057 (2018) - [i5]Neil Burch, Matej Moravcik, Martin Schmid:
Revisiting CFR+ and Alternating Updates. CoRR abs/1810.11542 (2018) - 2017
- [c12]Neil Burch, Martin Schmid, Matej Moravcik, Michael Bowling:
AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games. AAAI Workshops 2017 - [i4]Matej Moravcík, Martin Schmid, Neil Burch, Viliam Lisý, Dustin Morrill, Nolan Bard, Trevor Davis, Kevin Waugh, Michael Johanson, Michael H. Bowling:
DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker. CoRR abs/1701.01724 (2017) - 2016
- [i2]Neil Burch, Martin Schmid, Matej Moravcik, Michael H. Bowling:
AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games. CoRR abs/1612.06915 (2016)
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