Facebook(NASDAQ: FB) & CMU’s poker AI bein five pros in onceEngadget #Save_SaveJuly 12, 2019
In the likes of chess and Go, everything is laid out in the open.
But in poker, there’s hidden information, namely the cards your opponents have.
That brings different, complex strategies to poker not seen in other games, including bluffing.
It also had “faster self-play algorithms for games with hidden information,” Facebook said, meaning that it was more efficient in learning how to deal with hidden information in games the bot played against copies of itself.
In 2016, AlphaGo tapped into 1,920 CPUs and 280 GPUs while facing off against Go professional Lee Sedol.
Pluribus typically plays twice as fast as pros, taking an average of 20 seconds per hand when it played copies of itself.
“If each chip was worth a dollar, Pluribus would have won an average of about $5 per hand and would have made about $1,000/hour playing against five human players,” Facebook wrote.
“There were several plays that humans simply are not making at all, especially relating to its bet sizing.”
“Pluribus is a very hard opponent to play against,” Ferguson said.
He’s also very good at making thin value bets on the river.
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