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Facebook’s new poker-playing AI could wreck the online poker industry—so it’s not being released | MIT TECHNOLOGY REVIEW

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“Poker is the main benchmark problem for testing imperfect-information game solving capability… Multi-player games present additional challenges not present in two-player zero-sum games.”

Study co-author Dr. Tuomas Sandholm, Professor of Computer Science, Carnegie Mellon University, in Newsweek

The world of bluffs and tells is the latest game to be dominated by an AI system. Algorithmic victories are well known in chess and GO, but until now, AI play has been limited to two parties, methodical rules and transparent play.

A new AI model called Pluribus is winning at Texas Hold’em, among the most popular forms of poker.

Rules are still at the centre of poker, but so is concealment and deception. Unlike games where opposing plays are shown, poker players use feints as a strategy while keeping their cards to themselves. It’s made more complex with six sets in the mix.

Pluribus is showing poker prowess of its own. It is completely immune to bluffing and has no intention-revealing ‘tells’ for fellow players to weigh.

The MIT Technology Review says Pluribus ‘bluffed like a seasoned pro.’

Facebook video with sample gameplay by Pluribus (runs 4:36)

Pluribus played 5,000 hands with winning poker pros who had million-dollar games to their credit. Then it turned 10,000 hands with 13 other players and won again.

The MIT Technology Review story says practical applications extend far beyond the felt of the gaming table. Future iterations might include strategy-making for pricing or automated control systems, such as in self-driving vehicles.

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Facebook’s new poker-playing AI could wreck the online poker industry—so it’s not being released
MIT TECHNOLOGY REVIEW | July 11, 2019 | by Will Knight

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