Poker is a family of games that exhibit imperfect information, where players do not have full knowledge of past events. Whereas many perfect informa-tion games have been solved (e.g., Connect Four and checkers), no nontrivial imperfect information game played competitively by humans has previously been solved. Here, we announce that heads-up limit Texas hold’em is now es-sentially weakly solved. Furthermore, this computation formally proves the common wisdom that the dealer in the game holds a substantial advantage. This result was enabled by a new algorithm, CFR+, which is capable of solv-ing extensive-form games orders of magnitude larger than previously possible. Games have been intertwined with the earliest developments in computation, ...
Until recently, artificial intelligence researchers who use games as their experimental testbed have...
We present a new automated abstraction algorithm for sequential imperfect information games. While m...
Counterfactual Regret Minimization and variants (e.g. Public Chance Sampling CFR and Pure CFR) have ...
We present a game theory-based heads-up Texas Hold’em poker player, GS1. To overcome the computation...
The leading approach for solving large imperfect-information games is automated abstraction followed...
In today’s world, Artificial Intelligence exists in every game we play. It was a challenge for compu...
We present a game theory-based heads-up Texas Hold’em poker player, GS1. To overcome the computation...
Game-theoretic solution concepts prescribe how rational parties should act, but to become operationa...
We present Tartanian, a game theory-based player for headsup no-limit Texas Hold’em poker. Tartanian...
Algorithms for equilibrium computation generally make no attempt to ensure that the computed strateg...
We demonstrate our game theory-based Texas Hold’em poker player. To overcome the computational difficu...
Algorithms for equilibrium computation generally make no attempt to ensure that the computed strateg...
Poker has become the subject of an increasing amount of study in the computational intelligence comm...
In the field of computational game theory, games are often compared in terms of their size. This can...
The design of AIs in different games to compete with human challengers has for a long time been a fa...
Until recently, artificial intelligence researchers who use games as their experimental testbed have...
We present a new automated abstraction algorithm for sequential imperfect information games. While m...
Counterfactual Regret Minimization and variants (e.g. Public Chance Sampling CFR and Pure CFR) have ...
We present a game theory-based heads-up Texas Hold’em poker player, GS1. To overcome the computation...
The leading approach for solving large imperfect-information games is automated abstraction followed...
In today’s world, Artificial Intelligence exists in every game we play. It was a challenge for compu...
We present a game theory-based heads-up Texas Hold’em poker player, GS1. To overcome the computation...
Game-theoretic solution concepts prescribe how rational parties should act, but to become operationa...
We present Tartanian, a game theory-based player for headsup no-limit Texas Hold’em poker. Tartanian...
Algorithms for equilibrium computation generally make no attempt to ensure that the computed strateg...
We demonstrate our game theory-based Texas Hold’em poker player. To overcome the computational difficu...
Algorithms for equilibrium computation generally make no attempt to ensure that the computed strateg...
Poker has become the subject of an increasing amount of study in the computational intelligence comm...
In the field of computational game theory, games are often compared in terms of their size. This can...
The design of AIs in different games to compete with human challengers has for a long time been a fa...
Until recently, artificial intelligence researchers who use games as their experimental testbed have...
We present a new automated abstraction algorithm for sequential imperfect information games. While m...
Counterfactual Regret Minimization and variants (e.g. Public Chance Sampling CFR and Pure CFR) have ...