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Warbot Poker - advanced poker bot for online Texas Holdem
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A superhuman poker-playing bot called Pluribus has beaten top human professionals at six-player no-limit Texas hold'em poker, the most.


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Read more. Elias, the human poker champ, expects it. Pluribus is similar to Libratus in that it built up its skills by playing trillions of hands against versions of itself. But it would take too much computing power to explore the almost endless possibilities of a six-player game. Senior Writer Twitter. He was happy to help test Pluribus because he appreciates the science of AIโ€”and the potential for new insights like the value of betting bigger. Most work has been on two-player games. After each hand, the system reviews what happened and what might have worked betterโ€”any improvements are added to its core strategy. Featured Video. To avoid nasty surprises, it also takes into account how the value of different actions would change if opponents shifted their strategies.

Darren Elias knows poker. Brown says that new approach also has the advantage best poker bot requiring less computing power, making Pluribus relatively cheap to run.

The bot needed eight days of playing against itself on a single powerful server with 64 processor cores to master the game. Topics artificial intelligence bots Games.

AI bots developed for complex videogames such as DOTA 2 have required weeks of training on hundreds of thousands of processors. Now the last major milestone for poker AI has fallen, Littman says. All the same, he admits that the techniques will likely spread anyway. Longer term, ideas tested in Pluribus could help self-driving cars predict the actions of other drivers, or improve fraud-detection algorithms, he says. At the end, the bot was ahead by a good margin. Instead, Brown and Sandholm developed a search function that looks only a few moves ahead at a time. A paper in the journal Science on Thursday describes how Pluribus took on Elias and Ferguson, and also won handily in scenarios where a single copy of the bot played five human professionals for 10, hands. Nothing from the project with Facebook will be licensed to either of Sandholm's companies, although some techniques central to Pluribus predate the project. Unlike in chess, poker players must choose actions without knowing what cards their opponents holdโ€”as is the case in politics, business, and war. Along the way, Elias noticed something: Although machines are often thought of as uninspired, this bot was ballsier than your typical poker pro. The arrival of Pluribus, the ultimate poker bot, marks a historical waypoint for the game. Despite his expertise, he learned something new this spring from an artificial intelligence bot. Poker has long been seen as a grand challenge for AI researchers, with properties similar to many real world situations. All the same, Elias admits to a little sadness. This kind of search had not previously been adapted so well to a game like poker, where some information is hidden. Hobbyists and teenagers are now developing tech powered by machine learning and WIRED shows the impacts of AI on schoolchildren and farmers and senior citizens, as well as looking at the implications that rapidly accelerating technology can have. Pluribus is significant not just because a new bot taught an old pro new tricks. A year from now, will other people have developed Pluribus-style bots? One of those companies, Strategic Machine, works on uses such as improving bots in videogames and helping companies set optimum prices that take into account how competitors will respond.