activity
20122026
most citedDeepStack: Expert-Level Artificial Intelligence in No-Limit Poker

812 citations · 980 across the 6 of their papers we have counts for

collaborators
Showing cs.GTShow all

5 papers · 1 filter

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.GT202016 cited

From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization

Julien Perolat, Remi Munos, Jean-Baptiste Lespiau +10

In this paper we investigate the Follow the Regularized Leader dynamics in sequential imperfect information games (IIG). We generalize existing results of Poincaré recurrence from…

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.GT2012147 cited

Bayes' Bluff: Opponent Modelling in Poker

Finnegan Southey, Michael P. Bowling, Bryce Larson +4

Poker is a challenging problem for artificial intelligence, with non-deterministic dynamics, partial observability, and the added difficulty of unknown adversaries. Modelling all o…