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Over 12 days and 10,000 hands, the AI system named Pluribus faced off against 12 pros in two different settings.
In one, the AI played alongside five human players; in the other, five versions of the AI played with one human player the computer programs were unable to collaborate in this scenario.
In a paperthe scientists behind Pluribus say the victory is a significant milestone in AI research.
The game of Go famously has more possible board combinations than atoms in the observable universe, making it a huge challenge for AI to map out what move to make next.
But all the information best poker computer game available to see, and the game only has two possible outcomes for players: win or lose.
This makes it easier, in some senses, to train an AI on.
Credit: Facebook Back in 2015, a machine learning system beat human pros atbut upping the number of opponents to five increases the complexity significantly.
To create a program capable of rising to this challenge, Brown and his colleague Tuomas Sandholm, a professor at CMU, deployed a few crucial strategies.
This is a common technique for AI training, with the system able to learn the game through trial and error; playing hundreds of thousands of hands against itself.
This training process was also remarkably efficient: Pluribus was created in just eight days using a 64-core server equipped with less than 512GB of RAM.
Then, to deal with the extra complexity of six players, Brown and Sandholm came up with an efficient way for the Best poker computer game to look ahead in the game and decide what move to make, a mechanism known as the search function.
Rather than trying to predict how its opponents would play all the way to the end of the game a calculation that would become incredibly complex in just a few stepsPluribus was engineered to only look two or three moves ahead.
You might think that Pluribus is sacrificing long-term strategy for short-term gain here, but in poker, it turns out short-term incisiveness is really all you need.
It was predictably unpredictable: a fantastic quality in a poker player.
Brown says this is only natural.
We often think of bluffing as a uniquely human trait; something that relies on our ability to lie and deceive.
Brown and Sandholm hope that the methods they have demonstrated could therefore be applied in domains like cybersecurity, fraud prevention, and financial negotiations.
And over the 12 days it spent royale best western casino the pro, they were never able to find a consistent weakness in its game.
There was nothing to exploit.
From the moment it started betting, Pluribus was on top.
This article is completely useless without information on the blinds and size of the stacks.
By on "eight days using a 64-core server equipped with less than 512GB of RAM.
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