AI News, Facebook Develops New Poker AI That Can Beat the World's Top ... artificial intelligence

Banreservas awarded four accolades in the 2019 World Finance Banking Awards

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Facebook AI Blog

We are open-sourcing CraftAssist, a research platform for training and studying bots that collaborate with human players via in-game text chat in Minecraft.

AMA: We are Noam Brown and Tuomas Sandholm, creators of the Carnegie Mellon / Facebook multiplayer poker bot Pluribus. We're also joined by a few of the pros Pluribus played against. Ask us anything!

First, I think it’s important for the non-poker folks to understand just how absurdly high the variance is in poker.

We estimate the bot’s win rate to be 5 bb/100, which means the bot wins an average of about $5 per hand (at $50/$100 blinds with $10,000 stacks).

Any half-decent player can make money over 10,000 hands of poker, and it’s normal for the best player in the world to lose money over 10,000 hands.

(Indeed, Linus, considered by many to be the best human pro in the world at this form of poker, was down in chips in this experiment over the 10,000-hand sample.) Without variance reduction, it would have taken the pros 4 months of playing 8 hours a day, 5 days a week, to reach a meaningful sample size.

Second, if a player is faced with an all-in bet on the river and is 50/50 between calling and folding, they could take the expected value of both actions rather than flipping a coin.

Army Game-theory Research Better Allocates Military Resources, Fight Cancer

U.S. Army game-theory research using artificial intelligence may help treat cancer and other diseases, improve cybersecurity, deploy Soldiers and assets more efficiently and even win a poker game.

New research, published in Science, and conducted by scientists at Carnegie Mellon University, developed an artificial intelligence program called Pluribus that defeated leading professionals in six-player no-limit Texas hold ’em poker.

they don’t know what the adversaries will do, and what their capabilities are.” This research is extremely relevant to many real-world and military challenges that involve multiple parties such as cybersecurity and defense posturing, he said.

“The ability to beat five other players in such a complicated game opens up new opportunities to use AI to solve a wide variety of real-world problems.” “Playing a six-player game rather than head-to-head requires fundamental changes in how the AI develops its playing strategy,” said Brown, who joined Facebook AI last year.

With Army funding, Sandholm and some of his other students are developing related techniques for bio-steering, where the researchers are computing optimal treatment plans that steer a patient’s immune system to better fight cancers, autoimmune diseases, infections, etc.

Previous Army-funded game theory research is now being used by the Transportation Security Administration, the U.S. Coast Guard and the Los Angeles Metro Rail to schedule resources in a manner that decreases cost for the those organizations ensuring safety while increasing the costs for an adversary, thus reducing the chances for attacks.

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