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Counterfactual Regret Minimization (CFR) is the most popular iterative algorithm for solving zero-sum imperfect-information games.
A simple adaptive procedure leading to correlated equilibrium
Sergiu Hart and Andreu Mas-Colell · 2000
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Excessive gap technique in nonsmooth convex minimization
Yurii Nesterov · 2005
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Bayes’ bluff: Opponent modelling in poker
Finnegan Southey, Michael Bowling, Bryce Larson, Carmelo Piccione, Neil Burch, Darse Billings, and Chris Rayner · 2005
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Lossless abstraction of imperfect information games
Andrew Gilpin and Tuomas Sandholm · 2006
Earlier work this paper cites.
Regret minimization in games with incomplete information
Martin Zinkevich, Michael Bowling, Michael Johanson, and Carmelo Piccione · 2007
Earlier work this paper cites.
Monte Carlo sampling for regret minimization in extensive games
Marc Lanctot, Kevin Waugh, Martin Zinkevich, and Michael Bowling · 2009
Earlier work this paper cites.
Abstraction pathologies in extensive games
Kevin Waugh, David Schnizlein, Michael Bowling, and Duane Szafron · 2009
Cited alongside, same era.
Smoothing techniques for computing Nash equilibria of sequential games
Samid Hoda, Andrew Gilpin, Javier Peña, and Tuomas Sandholm · 2010
Cited alongside, same era.
An interior point approach to large games of incomplete information
François Pays · 2014
Cited alongside, same era.
Heads-up limit hold’em poker is solved
Michael Bowling, Neil Burch, Michael Johanson, and Oskari Tammelin · 2015
Cited alongside, same era.
Regret-based pruning in extensive-form games
Noam Brown and Tuomas Sandholm · 2015
Cited alongside, same era.
Simultaneous abstraction and equilibrium finding in games
Noam Brown and Tuomas Sandholm · 2015
Later among the works it cites.
Faster first-order methods for extensive-form game solving
Christian Kroer, Kevin Waugh, Fatma Kılınç-Karzan, and Tuomas Sandholm · 2015
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Solving heads-up limit texas hold’em
Oskari Tammelin, Neil Burch, Michael Johanson, and Michael Bowling · 2015
Later among the works it cites.
Strategy-based warm starting for regret minimization in games
Noam Brown and Tuomas Sandholm · 2016
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Refining subgames in large imperfect information games
Matej Moravcik, Martin Schmid, Karel Ha, Milan Hladik, and Stephen J Gaukrodger · 2016
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