Artificial Intelligence Beating World's Best Professional Poker Players

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The world's best professional poker players appear to have found their match: An artificial intelligence developed by researchers from the Carnegie Mellon University (CMU). The AI dubbed Libratus has already accumulated winnings of nearly $800,000 against human poker professionals at the Brain Vs. The human players compete to win shares of the $200,000 prize while Liberatus aims to be the first computer program to win in a professional poker tournament. Many AI researchers consider poker to be among the hardest games for computers to beat humans at. How AIs fare against human players when performing tasks has long been used as a measure of progress in the field of AI research.


Poker pros are latest losers in battle of man versus machine

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The latest battle between man and machine is being played out on the poker tables of a Pennsylvania casino, and so far humanity is losing. An artificial intelligence computer program called Liberatus has accumulated winnings of almost $800,000 against a team of professional poker players at the Brain Vs. Liberatus, developed by Carnegie Mellon School of Computer Science, is aiming to be the first computer program to win a professional poker tournament--a game considered by many AI researchers to be one of the hardest for computers to beat humans at. Artificial intelligence advances in recent years have seen computers master and eventually outperform the best human players at games including Chess and the game show Jeopardy!. In 2016, researchers at Google's DeepMind developed a system that was able to beat champion Go player Lee Sedol--a significant step for artificial intelligence.


John Hesp from Bridlington wins £2m in world poker contest

BBC News

A grandad from East Yorkshire has won $2.6m (£2m) by finishing fourth in the world's most prestigious poker tournament. John Hesp, 64, of Bridlington, made it to the final table of the main event at the World Series of Poker (WSOP). The grandfather of seven swapped his local casino in Hull for Las Vegas to take part in the 7,221-player contest. Mr Hesp's progress captivated the poker world, with many of the game's biggest names rooting for him to win. The semi-retired businessman, who paid $10,000 (£7,000) to enter the tournament, won admirers for his colourful dress sense and cheerful demeanour at the table.


Has AI passed a new milestone? It's beaten human players at poker, say researchers ZDNet

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Beating expert poker players differs from past AI successes against human competitors in games such as Jeopardy and Go. Researchers behind a poker-playing AI system called DeepStack say it's the first algorithm to have ever beaten poker pros in heads-up no-limit Texas hold'em. The claim, if verified, would mark a major milestone in the development of artificial-intelligence systems. Beating expert poker players differs from past AI successes against human competitors in games such as Jeopardy and Go because each player's hand provides only an incomplete picture about the state of play and requires a program to navigate tactics, such as bluffing, based on asymmetrical information. DeepStack is the work of a collaboration between researchers at the University of Alberta and two Czech universities, who say in a new non-peer reviewed paper that it's the "first computer program to beat professional poker players in heads-up no-limit Texas hold'em".


Bet On The Bot: AI Beats The Professionals At 6-Player Texas Hold 'Em

NPR Technology

During one experiment, the poker bot Pluribus played against five professional players. During one experiment, the poker bot Pluribus played against five professional players. In artificial intelligence, it's a milestone when a computer program can beat top players at a game like chess. But a game like poker, specifically six-player Texas Hold'em, has been too tough for a machine to master -- until now. Researchers say they have designed a bot called Pluribus capable of taking on poker professionals in the most popular form of poker and winning.