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Matej Moravcík

4 papers hereh-index 81.5k citations13 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.GT3
  • cs.AI1

identity via Semantic Scholar / OpenAlex

activity
20172020
most citedDeepStack: Expert-Level Artificial Intelligence in No-Limit Poker

812 citations · 812 across the 1 of their papers we have counts for

collaborators

4 papers

cs.GT2020

Sound Algorithms in Imperfect Information Games

Michal Šustr, Martin Schmid, Matej Moravčík +3

Search has played a fundamental role in computer game research since the very beginning. And while online search has been commonly used in perfect information games such as Chess a…

cs.GT2018

Revisiting CFR+ and Alternating Updates

Neil Burch, Matej Moravcik, Martin Schmid

The CFR+ algorithm for solving imperfect information games is a variant of the popular CFR algorithm, with faster empirical performance on a range of problems. It was introduced wi…

cs.GT2018

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

Martin Schmid, Neil Burch, Marc Lanctot +3

Learning strategies for imperfect information games from samples of interaction is a challenging problem. A common method for this setting, Monte Carlo Counterfactual Regret Minimi…

cs.AI2017★ 812 cited

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

Matej Moravčík, Martin Schmid, Neil Burch +7

Artificial intelligence has seen several breakthroughs in recent years, with games often serving as milestones. A common feature of these games is that players have perfect informa…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.