Artificial intelligence beat human poker, what's next?

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2019-07-15 14:40:08

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Artificial intelligence beat human poker, what's next?

Artificial intelligence has again beaten the person. This time AI . And in this, it seems, is not surprising, because in this game the artificial intelligence was first before. However now everything is different: the car won five of the players «Texas holdem» and was aimed at the highest prize.

What is "Texas hold'em"

If you do not go into the details of the rules of the game, it is one of the most common types of poker. In those scenes that you saw in many movies, when the players sit around the table and take turns making bets, it appears holdem. At the table are 6 players and they bet. At any time you can exit the game, but then back the invested money you get. This continues until, until there is an intense "battle" one-on-one, in which the winner takes all.

In a recent experiment, experts in the development of AI from Facebook and Carnegie-Mellon "seated" at the table to the players , who had one task: to win as much money as possible.

Why artificial intelligence was able to beat man

Development of profitable algorithm for a poker game with multiple players (and in theory at multiple tables at the same time) — a task much more difficult than to teach the AI to play . Mostly it's the fact that in poker there is only very limited information about what is happening at the poker table. That is, if in the same chess computer "sees" the whole picture, including the location of the opponent's pieces, in the poker AI only knows what cards he has on hand and which are laid on the table. It is also possible, that is, to "count cards", anticipating which of them are "gone", which will allow to predict possible combinations. But it's still more difficult than to analyze "open" chess Board.

Thanks to the new , system called Pluribus 12 days and 10,000 hands fought 12 professional poker players. In the end, Pluribus has won an average of 5 dollars per hand and about $ 1,000 an hour.

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How AI learned how to play poker

For starters, the developers made the AI play against itself and by trial and error to choose the most appropriate tactics. It is, in General, the standard way of learning. Interestingly, this is different: Pluribus was created in just eight days using a 64-core server station, equipped with only 512 GB of RAM. This training cost the company only about $ 150.

But the practice of AI is not over. Programmers have invented the method of artificial intelligence that allowed him to play very effectively. Instead of trying to predict how his opponents will act before the end of the game, Pluribus was designed to "look" only two or three moves ahead. It allowed to put system resources on more useful actions. For example, the development of the ability to bluff.

"the Ability to make a conscious bluff is considered to be the exclusive prerogative of the people" — the authors of the publication The Verge. "At the same time devoid of long-term strategic thinking Pluribus, as noted by almost all participants, was very successful at bluffing. For the algorithm it was only one way to win the hand, but not the main".

Researchers announced that they would not pay and all that was associated with its development, freely available. The achievements obtained during a recent experiment, very important: they allow, for example, to identify financial fraud in the securities market, will help automatic systems of adjusting of traffic and will be useful even when developing more effective autopilot.

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