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Effective Hand Strength (EHS) is a poker algorithm conceived by computer scientists Darse Billings, Denis Papp, Jonathan Schaeffer and Duane Szafron that was published for the first time in the research paper (1998). "Opponent Modeling in Poker" (PDF). AAAI-98 Proceedings.
In a study completed December 2016, DeepStack defeated 11 professional poker players by playing 44,000 hands of poker. Over all games played, DeepStack won 49 big blinds/100 (always folding would only lose 75 bb/100), over four standard deviations from zero, making it the first computer program to beat professional poker players in heads-up no-limit Texas hold'em poker.
Poker relative calculators tend to be displayed on poker tournaments and shows for an audience because they provide an accurate assessment of a player's winning chance. However, professional in game poker players do not use or think in terms of poker relative calculations because two or more poker hands at the same table are required.
Among the company's first video arcade games in 1984 was a video poker machine available in floor-cabinet, swivel-mounted table and countertop table chassis. [10] Greyhound advertised the machine as an amusement game—no cash or prize redemption for winning—and emblazoned the machine with an " amusement only " sticker. [ 11 ]
The 80,000-hand sample represented the largest-ever human–computer data set. Claudico was able to adjust to its opponent's strategy as the matches progressed, just as the humans could. [ 2 ] The match winner was determined by the overall chip count after 80,000 hands; although individual results were kept for the four pros, they were ...
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The competition was held at the 2007 Association for the Advancement of Artificial Intelligence (AAAI) conference, which also hosted an international competition between computer poker programs. Out of four matches against the human professionals, Polaris won one, tied one, and lost twice; overall, the humans won the competition by a small ...