What Can We Learn From Poker AI Technology?

What Can We Learn From Poker AI Technology

Over the last several decades, scientists from some of the top universities in the world embarked on a mission to create an advanced poker software that could compete against the best players on the planet.

Poker is one of the most popular card games in a casino, and many people enjoy playing it online these days. You too can show off your poker skills by playing at some of the best online casinos on the web, of which you can easily find on PokerSites.me.uk.

In this article, we will give you some vital facts about poker AI, and we’ll also touch on the subject of where this technology can also be adapted and applied in other industries. Read on!

A Brief History of Poker AI


Scientists first began experimenting with poker AI machines in the mid-80s. By today’s standards, these machines were relatively primitive. Nevertheless, they held many merits and laid the groundwork for modern poker supercomputers.

During the late 90s, poker AI scientists began narrowing their focus on Texas Hold’em variations – the most played kind of poker in the world. In 2005, the first competition for poker robots was held in Las Vegas. 

In 2008, a team of scientists from the University of Alberta finished developing Polaris, the first poker AI that managed to continually beat human players. The same university also created Cepheus and DeepStack, which were much-improved versions of Polaris.

The Technical Complexity of Libratus


Dong Kim sat at a club in Pittsburgh and played poker against a machine. In any case, Kim wasn’t only any poker player. This wasn’t only any machine. Also, it wasn’t only any round of poker.


Kim is among the best players on the planet. The machine, worked by two software engineering analysts at Carnegie Mellon, is a misleadingly astute framework that keeps running on a Pittsburgh supercomputer. What’s more, for twenty straight days, they played no-restriction Texas Hold Them, a particularly intricate type of poker wherein wagering systems happen more than many hands.


During the challenge, the makers of Libratus were bashful about how the framework functioned—how it figured out how to be so fruitful, how it mirrored human instinct in a manner no other machine at any point had. Be that as it may, for reasons unknown, this AI achieved such statures since it wasn’t only one AI.


Today, Libratus is considered to be the most advanced poker AI on the planet. Libratus differs a bit from its predecessors in the sense that it learns its own poker strategy. Previous poker bots had strategies built into their systems. 

Working with 274 terabytes of RAM, Libratus is thousands of times faster than any PC. The approximated cost of Libratus is just shy of $10 million.

Libratus is very difficult – even for professional – to beat as it randomizes its actions and plays differently each time. In 2017, this poker AI managed to win against four top class poker professionals. The machine is practically unbeatable, and the probability that a human could defeat it in a game of poker is less than 0.6%.

The best thing about Libratus, however, is that its algorithms are not specific to the game of poker, meaning that its technology can be applied for many different purposes.

Through a algorithm called counterfactual lament minimization, it started by playing aimlessly, and in the end, following a while of preparing and trillions of hands of poker, it also achieved a level where it couldn’t simply challenge the best people however play in manners they proved unable— playing an a lot more extensive scope of wagers and randomizing these wagers, with the goal that adversaries experience more difficulty think about what cards it holds.

“We give the AI a depiction of the game. We don’t disclose to it how to play,” says Noam Brown, a CMU graduate understudy who fabricated the framework close by his educator, Tuomas Sandholm. “It builds up a system totally freely from human play, and it tends to be altogether different from the manner in which people make the appearance.”

The Power of Artificial Intelligence


In many ways, supercomputers have far superior abilities than humans. AI machines don’t feel the value of money and don’t get tired or experience fatigue, meaning that they perform complex mathematical functions without making mistakes. 

Moreover, unlike people, poker AI is not afraid of risk and doesn’t have emotions that can stand in its way when making decisions.

AI is capable of substituting 20,000 years of human work in a single week, which is why there’s a lot of investment in this type of technology. 

The practical uses of machines such as Libratus extend beyond poker. This type of AI can be applied in banking, the government and defense sectors, cybersecurity, business deals, healthcare, and much more. If used correctly, AI can help the betterment of humanity and create a brighter future for everyone on the planet.

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