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DeepStack

DeepStack

DeepStack is an artificial intelligence created at the University of Alberta to play games with imperfect information such as poker.

DeepStack is an artificial intelligence created at the University of Alberta to play games with imperfect information such as poker. DeepStack learns using deep learning techniques and from self-play in which it plays millions of hands against itself. In a series of games in 2017, DeepStack defeated 11 professional poker players in heads up no-limit Texas hold'em.

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Dustin Morrill

Kevin Waugh

Martin Schmid

Matej Moravčík

Michael Bowling

Michael Johanson

Neil Burch

Nolan Bard

Nolan Bard

Trevor Davis

Viliam Lisý

Further reading

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Canadian Press

Computer program wins at no-limit Texas Hold 'Em by trusting its gut

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

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

Academic paper

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

DeepStack: Expert-level artificial intelligence in heads-up no-limit poker

Academic paper

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