A poker-bot that was designed by researchers from Facebook and Carnegie Mellon University has consistently beat some of the world’s top human players in a series of six person no limit Texas Hold’Em poker games, according to The Verge.
The AI system, named Pluribus, played over 10,000 hands over the course of 12 days. In one situation, it played alongside five human players and in another, it played along five additional AI players. The bot won, on average, five dollars per hand with hourly winnings of about $1000, which researchers called a “decisive margin of victory”.
Noam Brown, a research scientist at Facebook AI Research said:
“It’s safe to say we’re at a superhuman level and that’s not going to change.”
Chris Ferguson, a six-time World Series of Poker champion said: “Pluribus is a very hard opponent to play against. It’s really hard to pin him down on any kind of hand.”
In a paper recently published, the scientist behind the bot said that the victories are a significant milestone in AI research. Other computers have mastered games like Chess and Go, but six person Texas Hold Em was always a higher benchmark to accomplish.
This is because information needed to win the game is often hidden from players – it involves multiple players and complex victory outcomes. A game like Go is easier for AI despite having more possible board combinations