Poker-Playing Engineers Take on AI Machine - And Get Thrashed - Bloomberg

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"Tuomas Sandholm, a professor of computer science at Carnegie Mellon, has been honing the research underlying Libratus since 2004, honing its ability to make decisions in situations with imperfect information. The point of training AI to win at games like chess, Go, and poker isn’t for the sake of games themselves, but because controlled environments help computers hone strategic decision-making. Those reasoning skills can then be applied to real-world problems such as business, finance, and cybersecurity, he said.

“People have a misunderstanding of what computers and people are each good at. People think that bluffing is very human -- it turns out that’s not true,” said Noam Brown, Sandholm’s PhD student and a co-developer of Libratus. “A computer can learn from experience that if it has a weak hand and it bluffs, it can make more money.”"

Poker-Playing Engineers Take on AI Machine - And Get Thrashed - Bloomberg