Search Results for author: Matej Moravčík

Found 2 papers, 1 papers with code

AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games

no code implementations20 Dec 2016 Neil Burch, Martin Schmid, Matej Moravčík, Michael Bowling

Evaluating agent performance when outcomes are stochastic and agents use randomized strategies can be challenging when there is limited data available.

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

1 code implementation6 Jan 2017 Matej Moravčík, Martin Schmid, Neil Burch, Viliam Lisý, Dustin Morrill, Nolan Bard, Trevor Davis, Kevin Waugh, Michael Johanson, Michael Bowling

Poker is the quintessential game of imperfect information, and a longstanding challenge problem in artificial intelligence.

Game of Poker

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