Search Results for author: Trevor Davis

Found 3 papers, 1 papers with code

Low-Variance and Zero-Variance Baselines for Extensive-Form Games

no code implementations ICML 2020 Trevor Davis, Martin Schmid, Michael Bowling

In this paper, we extend recent work that uses baseline estimates to reduce this variance.

Solving Large Extensive-Form Games with Strategy Constraints

no code implementations20 Sep 2018 Trevor Davis, Kevin Waugh, Michael Bowling

Extensive-form games are a common model for multiagent interactions with imperfect information.

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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