Over the years, artificial intelligence technology has come on in leaps and bounds. Nothing challenges AI more than games, particularly games with a skill-based element like chess and poker.
During the course of a game, certain achievements serve as benchmarks to monitor progress. AI and poker interactions have been rather limited in recent years since the AI constructs have only been applied to 2-player poker games. Everyone knows that it is highly irregular for poker to be played with just 2 players.
As such, multiplayer functionality is the norm and AI technology simply had to compete at that level to be relevant. Enter Pluribus — developed by Brown and Sandholm. Believe it or not, Pluribus fits that mold in every way. This AI construct competed in some 10, hands of multi-player poker games, and the results are astonishing. This machine has learned the art of 6-player NLH by competing against 5 x world-class poker aficionados.
The creators are not surprised by the results: the AI machine performed considerably better than its human competitors. By simulating real-world situations, artificial intelligence software has been programmed to assess a myriad of potential outcomes, probabilities, and analytical assessments.
As a result, powerful new algorithms with wide-reaching applications are now available. The AI supercomputer went head-to-head against a dozen exceptional poker players in 2 unique settings. In the other setting, one human player competed against 5 different versions of Pluribus.
In the latter version, Pluribus constructs were not allowed to collaborate. Just in case you were wondering what type of opposition Pluribus was coming up against, consider none other than 6-time WSOP champion, Chris Ferguson. It's really hard to pin him down on any kind of hand. It's not only Ferguson who got the short end of the stick — other poker pros like Darren Elias multi WPT title winner also got his jacks handed to him by Pluribus. Even Michael "Gags" Gagliano — a multimillionaire poker player found himself on the losing end against the bot.
Poker presents unique challenges to artificial intelligence technology, particularly when multiple highly-skilled opponents are competing against the AI technology. Many different variables need to be factored into the learning process.
Emotional, cognitive, probabilistic, and random elements are continually at play, making it difficult to craft an algorithm capable of self-learning, improvement, and expert-level functionality. In the years since, dramatic advancements have taken place and now these computers are able to factor in incredibly complex elements. They teamed them up against one another and allowed them to learn accordingly. The training process was a runaway success, and the AI machinery is the safest bet that anyone on the rail can make.
The scientists cut down on the learning curve by removing virtually limitless possibilities of what players could do during the course of their games, to just 2 or 3 moves ahead.
It's astonishing that AI technology is capable of the human art of deception a. AI uses bluffing when it is the most opportune decision to make, given the range of outcomes that are possible.
Is this the end of human poker prowess as we know it? This question is a nonstarter. From a purely scientific perspective, it is invariably true that machines can learn a lot quicker, compute a lot more information, and process probability analysis far more efficiently than any human being. However, humans are capable of learning too. Given that it is human ingenuity that programs the algorithms upon which AI systems like Pluribus function, we definitely owe ourselves some credit.
Poker pros readily attest to learning from these poker bots. For now, poker players needn't be overly concerned about going head-to-head against AI software like Pluribus.
The creators of this poker monster state that it is a static program, with no upgrades or updates implemented after its 8-day training period. That being said, there was never a question about its efficacy, or its relentless ability to consistently beat the best poker players and come out a winner.
Pluribus makes a strong case for advanced poker playing strategies and machine learning capabilities. One of the most notable characteristics to emerge from the use of this type of AI technology against human competition is the prevalence of Donk Betting on the part of the machine.
This phenomenon takes place when a player ends a round of poker with a call and begins the next round with a bet. New Years Poker. Valentine Poker. St Patricks Poker. Cinco de Mayo Poker. More Games Solitaire. Video Poker. Word Search. More Games. Tens Or Better Online Poker. New Holdem Games. Poker Police. Available to United States residents. By clicking sign up, I agree that I would like information, tips, and offers about Microsoft Store and other Microsoft products and services.
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Additional information Published by Ivonne Roedter-Geisler. Published by Ivonne Roedter-Geisler.
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