Tuomas Sandholm, a computer scientist at Carnegie Mellon University, is not a poker player--or much of a poker fan, in fact--but he is fascinated by the game for much the same reason as the great game theorist John von Neumann before him. Von Neumann, who died in 1957, viewed poker as the perfect model for human decision making, for finding the balance between skill and chance that accompanies our every choice. He saw poker as the ultimate strategic challenge, combining as it does not just the mathematical elements of a game like chess but the uniquely human, psychological angles that are more difficult to model precisely--a view shared years later by Sandholm in his research with artificial intelligence. "Poker is the main benchmark and challenge program for games of imperfect information," Sandholm told me on a warm spring afternoon in 2018, when we met in his offices in Pittsburgh. The game, it turns out, has become the gold standard for developing artificial intelligence.

Tuomas Sandholm, a computer scientist at Carnegie Mellon University, is not a poker player -- or much of a poker fan, in fact -- but he is fascinated by the game for much the same reason as the great game theorist John von Neumann before him. Von Neumann, who died in 1957, viewed poker as the perfect model for human decision making, for finding the balance between skill and chance that accompanies our every choice. He saw poker as the ultimate strategic challenge, combining as it does not just the mathematical elements of a game like chess but the uniquely human, psychological angles that are more difficult to model precisely -- a view shared years later by Sandholm in his research with artificial intelligence. WHAT I LEFT OUT is a recurring feature in which book authors are invited to share anecdotes and narratives that, for whatever reason, did not make it into their final manuscripts. In this installment, Maria Konnikova shares a story that was left out of "The Biggest Bluff: How I Learned to Pay Attention, Master Myself, and Win" (Penguin Press). "Poker is the main benchmark and challenge program for games of imperfect information," Sandholm told me on a warm spring afternoon in 2018, when we met in his offices in Pittsburgh.

Libratus, the artificial intelligence (AI) engine designed by Professor Tuomas Sandholm at Carnegie Mellon University (CMU) and his graduate student Noam Brown has made an impression on Jason Les, one of the world's top poker players. Poker News, the poker industry's online news magazine, recently interviewed Les. A couple questions were telling when asked about which is a better name for his firstborn child and which is the more annoying opponent, Claudico or Libratus. For both questions, he responded with Libratus.[1],[2] In January, Les and three others of the world's top four poker champions--Dong Kim, Daniel McAulay, and Jimmy Chou--were challenged to 20 days of No-limit Heads-up Texas Hold'em poker at the Brains versus Artificial Intelligence tournament in Pittsburgh's Rivers Casino.

The latest poker AI defeated pros heads-up. What can we humans learn from Libratus? "Developing an AI that can [bluff] successfully is a tremendous step forward scientifically." The Terminator, I, Robot, and A.I. Artificial Intelligence are among the many films in the past four decades with the theme of artificial intelligence evolving beyond humans' reach and leading to the end of humankind. While such a scenario remains unlikely in the near future, many believe that at least the first part – AI surpassing the human brain and mind to reach a level of artificial superintelligence (ASI) – will most likely happen some time in the next 30 years, according to Jeff Nesbit in U.S. News & World Report.

The first human versus computer no-limit Texas hold ‘em competition took place from April 24–May 8, 2015 at River’s Casino in Pittsburgh, PA. In this article I present my thoughts on the competition design, agent architecture, and lessons learned. Several problematic hands from the competition are highlighted that reveal the most glaring weaknesses of the agent. The research underlying the agent is placed within a broader context in the AI research community, and several avenues for future study are mapped out.

NEW YORK Artificial intelligence has made history by beating humans in poker for the first time, the last remaining game in which humans had managed to maintain the upper hand. Libratus, an AI built by Carnegie Mellon University racked up over $1.7 million worth of chips against four of the top professional poker players in the world in a 20-day marathon poker tournament that ended on Tuesday in Philadelphia. While machines have beaten humans over the last two decade in chess, checkers, and most recently in the ancient game of Go, Libratus' victory is significant because poker is an imperfect information game -- similar to the real world where not all problems are laid out and the difficulty in figuring out human behavior is one of the main reasons why it was considered immune to machines. "The best AI's ability to do strategic reasoning with imperfect information has now surpassed that of the best humans," said Tuomas Sandholm, professor of computer science at CMU who created Libratus with a Ph.D student Noam Brown said on Wednesday. The victory prompted inquiries from companies all over the world seeking to use Libratus' algorithm for problem solving.

A bunch of top poker pros are getting ready to take on Libratus, the latest and greatest poker bot, in a 20-day Heads-Up No-Limit Texas Hold'em challenge. Since the bot's predecessor, Claudico, was almost good enough to beat top players, and Libratus is supposed to be a lot better, the humans could be in trouble. On the other hand, humans are getting better, too, says competitor Jason Les. "From the human side, poker has gotten much tougher in the last 20 months," Les told Carnegie Mellon University, which developed the bot. Les says that humans are getting better at poker thanks to computer-assisted analysis tools like PioSOLVER and PokerSnowie.

AI has been a hot topic for years. Artificial Intelligence simply means the theory and development of computer systems able to do work that usually requires human intelligence. Now Artifical Intelligence has achieved a milestone of defeating humans in poker for the first time. The AI namely Libratus which is developed by Carnegie Mellon University with $1.7 million worth of chips against the popular and professional poker players in the world. AI managed to beat them in a 20-day marathon poker tournament that was held in Philadelphia on Tuesday.

Marking a major step forward for artificial intelligence (AI), Libratus, an AI developed by Carnegie Mellon University (CMU), has resoundingly beaten four of the best heads-up no-limit Texas hold'em poker players in the world in a marathon, 20-day competition. After 20 days and a collective 120,000 hands played, Libratus closed out the competition Monday leading the pros by a collective $1,766,250 in chips. "I'm just impressed with the quality of poker Libratus plays," pro player Jason Les, a specialist in heads-up no-limit Texas hold'em like the other three players, said at a press conference yesterday morning. "They made algorithms that play this game better than us. We make a living trying to find vulnerabilities in strategies. That's what we do every day when we play heads-up no-limit. We tried everything we could and it was just too strong."

Imagine your smartphone being able to negotiate the best price of a new car for you -- that's one of the potential implications of artificial intelligence beating humans in poker for the first time, experts say. Libratus, an AI built by Carnegie Mellon University (CMU), racked up over $US1.7 million ($2.2 million) worth of chips against four of the top professional poker players in the world in a 20-day marathon poker tournament that ended in Philadelphia on Tuesday.. While machines have beaten humans over the last two decade in chess, checkers, and most recently in the ancient game of Go, Libratus' victory is significant because poker is an imperfect information game -- similar to the real world where not all problems are laid out. The difficulty in figuring out human behaviour is one of the main reasons why poker was considered immune to machines. "The best AI's ability to do strategic reasoning with imperfect information has now surpassed that of the best humans," said Tuomas Sandholm, professor of computer science at CMU who created Libratus with a PhD student Noam Brown.