Tag Archives: cmu

CMU AI Is Tough Poker Player

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Libratus was developed by Computer Science Professor Tuomas Sandholm and his Ph.D. student, Noam Brown. Libratus is being used in this contest to play poker, an imperfect information game that requires the AI to bluff and correctly interpret misleading information to win. Ultimately programs like Libratus also could be used to negotiate business deals, set military strategy or plan a course of medical treatment — all cases that involve complicated decisions based on imperfect information.

Source: CMU AI Is Tough Poker Player | Carnegie Mellon School of Computer Science

Poker pros win against AI, but experts peg match as statistical draw

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“Beating humans isn’t really our goal; it’s just a milestone along the way,” Sandholm said. “What we want to do is create an artificial intelligence that can help humans negotiate or make decisions in situations where they can’t know all of the facts.”

Source: Poker pros win against AI, but experts peg match as statistical draw – Techie News

“The advances made in Claudico over Tartanian7 in just eight months were huge,” Les said, a rate of improvement that suggests the AI might need only another year before it clearly plays better than the pros.

Human Pros Dominating Poker AI

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At the halfway point of the “Brains Vs. Artificial Intelligence” poker competition between software developed at Carnegie Mellon University and four of the world’s best players, the nod unquestionably goes to the humans.

The CMU computer program, Claudico, is playing a total of 80,000 hands of Heads-Up No-limit Texas Hold’em against Doug Polk, Dong Kim, Bjorn Li and Jason Les. And after 42,100 hands, the humans had a cumulative lead of 626,892 chips.

Source: Human Pros Dominating Poker AI – Robotics Trends

Looks like poker may be more difficult than chess and Jeopardy.

Carnegie Mellon Computer Faces Poker Pros in Epic No-Limit Texas Hold’Em Competition

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In a contest that echoes Deep Blue’s chess victory over Garry Kasparov and Watson beating two Jeopardy! Champions, computer poker software developed at Carnegie Mellon University will challenge four of the world’s best professional poker players in a “Brains Vs. Artificial Intelligence” competition beginning April 24 at Rivers Casino.

Over the course of two weeks, the CMU computer program, Claudico, will play 20,000 hands of Heads-Up No-limit Texas Hold’em with each of the four poker pros. The pros — Doug Polk, Dong Kim, Bjorn Li and Jason Les — will receive appearance fees derived from a prize purse of $100,000 donated by Microsoft Research and by Rivers Casino. The Carnegie Mellon scientists will compete for something more precious.

Source: Brains Vs. Artificial Intelligence: Carnegie Mellon Computer Faces Poker Pros in Epic No-Limit Texas Hold’Em Competition-Carnegie Mellon News – Carnegie Mellon University

“Computing the world’s strongest strategies for this game was a major achievement — with the algorithms having future applications in business, military, cybersecurity and medical arenas,” Sandholm said.

Link Grammar

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The Link Grammar Parser is a syntactic parser of English, based on link grammar, an original theory of English syntax. Given a sentence, the system assigns to it a syntactic structure, which consists of a set of labeled links connecting pairs of words. The parser also produces a “constituent” representation of a sentence (showing noun phrases, verb phrases, etc.).

via Link Grammar.