Cepheus poker university of alberta
Poker game solved For Group at the Faculty of Science, University of Alberta have essentially perfect game of poker. Cepheus accomplished. Apr 13, · The University of Alberta made headlines earlier this year when professor Michael Bowling and his team unveiled the “unbeatable” Cepheus Poker . Cepheus learned poker by playing over a billion billion a computer scientist who helped develop Cepheus at the University of Alberta Computer Poker Research.
I Beat the “Unbeatable” Poker-Playing Artificial Intelligence—Sort Of
The feat required the number-crunching power of four thousand computer processors, each handling six billion hands every second. I played against Cepheus online and won both hand matches in blind-squirrel fashion. Close This article is 3 years old Cepheus can lose a run of poker hands as a result of bad luck, but will always come out on top in the end. Against an elite player, the program might eke out minimum wage, just enough to cover the electric bill. Most humans can barely fathom the chance and skill components of a critical situation with any sense of the big picture, often misattributing results with decisions and vice versa. In poker this happens a lot.
Poker program Cepheus is unbeatable, claim scientists
Does Cepheus have a poker face? It did not go as I had expected. It was refined for months, formulating optimal play in every aspect of the game. The algorithms and methodology of the Cepheus Project have potential applications in medicine, cybersecurity, marketing, and other avenues of game theory, so this development should excite even the nonpoker crowd.
Real life is not like chess. Real life is like a poker game. This makes poker an ideal proving ground for advancing the state of the art in artificial intelligence. And [Cepheus] represents a milestone in the advancement of AI.
I played against Cepheus online and won both hand matches in blind-squirrel fashion. I played hands versus Cepheus, a very insignificant sample size in poker. Many top online professional poker players have experienced a ,hand break-even streak at some point in their careers. After 30, hands the probability of winning is down to 5 percent, so still 1-in people would think they were the better player after 30, hands.
Imagine a spectrum of starting hands ranked by strength. A player is perpetually trying to figure out where he stands, and all decisions are based on these approximations.
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