To master Texas hold’em Pluribus adopted some surprising, and distinctly non-human, strategies which have already been adopted by the professionals it played. The work was part-funded by the US Army Research Office.Ī round of Texas hold’em in which the AI program Pluribus competed. In his laboratory, research is underway to use the algorithm in treatment plans that marshall precise populations of immune cells to fight specific diseases. The ability to beat five players at a time in such a complex game of bluff and hidden information opened up new opportunities for AI to tackle real world problems, he said.Īccording to Sandholm, the algorithm has potential in applications ranging from investment banking and negotiation strategies to wargaming and deciding how much US political candidates should spend advertising in various media in different states. “It’s the first time AI has achieved superhuman performance in a multiplayer game,” said Tuomas Sandholm, who developed Pluribus with his PhD student Noam Brown at Carnegie Mellon University in Pittsburgh. A forerunner of Pluribus named Libratus made its name two years ago by trouncing top human players, but that program only played one-on-one.
No computer program has ever achieved superhuman performance against multiple poker players. What counts as a beating for humanity ranks as a milestone for AI.
