Martin Schmid
Martin Schmid
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Cited by
Deepstack: Expert-level artificial intelligence in heads-up no-limit poker
M Moravčík, M Schmid, N Burch, V Lisý, D Morrill, N Bard, T Davis, ...
Science 356 (6337), 508-513, 2017
Text understanding with the attention sum reader network
R Kadlec, M Schmid, O Bajgar, J Kleindienst
arXiv preprint arXiv:1603.01547, 2016
Improved deep learning baselines for ubuntu corpus dialogs
R Kadlec, M Schmid, J Kleindienst
arXiv preprint arXiv:1510.03753, 2015
Refining subgames in large imperfect information games
M Moravcik, M Schmid, K Ha, M Hladik, SJ Gaukrodger
Thirtieth AAAI conference on artificial intelligence, 2016
Automatic question generation from natural text
A Kantor, J Kleindienst, M Schmid
US Patent 9,904,675, 2018
Variance reduction in monte carlo counterfactual regret minimization (VR-MCCFR) for extensive form games using baselines
M Schmid, N Burch, M Lanctot, M Moravcik, R Kadlec, M Bowling
Proceedings of the AAAI Conference on Artificial Intelligence 33, 2157-2164, 2019
Revisiting CFR+ and alternating updates
N Burch, M Moravcik, M Schmid
Journal of Artificial Intelligence Research 64, 429-443, 2019
Rethinking formal models of partially observable multiagent decision making
V Kovařík, M Schmid, N Burch, M Bowling, V Lisý
arXiv preprint arXiv:1906.11110, 2019
Aivat: A new variance reduction technique for agent evaluation in imperfect information games
N Burch, M Schmid, M Moravčík, M Bowling
arXiv preprint arXiv:1612.06915, 2016
Bounding the support size in extensive form games with imperfect information
M Schmid, M Moravcik, M Hladik
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence …, 2014
Neural Text Understanding with Attention Sum Reader
R Kadlec, M Schmid, O Bajgar, J Kleindienst
Low-Variance and Zero-Variance Baselines for Extensive-Form Games
T Davis, M Schmid, M Bowling
arXiv preprint arXiv:1907.09633, 2019
Automatic public state space abstraction in imperfect information games
M Schmid, M Moravcik, M Hladik, SJ Gaukrodger
AAAI Workshop: Computer Poker and Imperfect Information, 2015
Game theory and poker
M Schmid
Univerzita Karlova, Matematicko-fyzikální fakulta, 2013
Konvoluční neuronové sítě a jejich implementace
M Schmid
Univerzita Karlova, Matematicko-fyzikální fakulta, 2011
Approximate exploitability: Learning a best response in large games
F Timbers, E Lockhart, M Schmid, M Lanctot, M Bowling
arXiv preprint arXiv:2004.09677, 2020
Multiple-point cognitive identity challenge system
DS Anderson, OCW Blodgett, T Durniak, MR Moore, M Schmid
US Patent 10,210,317, 2019
Multiple-Point Cognitive Identity Challenge System Using Voice Analysis
DS Anderson, OCW Blodgett, T Durniak, MR Moore, M Schmid
US Patent App. 15/236,821, 2018
Equilibrium's Action Bound in Extensive Form Games with Many Actions
M Schmid, M Moravcik
Workshops at the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013
The Advantage Regret-Matching Actor-Critic
A Gruslys, M Lanctot, R Munos, F Timbers, M Schmid, J Perolat, D Morrill, ...
arXiv preprint arXiv:2008.12234, 2020
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