AI is better at bluffing than professional gamblers
Arguably one of the most human elements in poker is the bluff. Researchers are now training AI to effectively bluff while gambling. Libratus might even be better than professional players. Via Engadget:
AI has proved itself quite literally capable of beating humans at their own games, but does that hold true when the chips are down and real money is on the line? As the Libratus system from Carnegie Mellon University showed in 2017, the answer remains a resounding yes.
It wasn’t as much a poker tournament as a three-week curb stomping. Professional poker players Jason Les, Dong Kyu Kim, Daniel McAulay and Jimmy Chou spent 20 days playing 120,000 hands of heads-up, no-limit Texas Hold’em against the AI but wound up losing by a margin of more than $1.76 million in the end.
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