POKERTH DONK SOLUTION SERIES

Pluribus does not adapt its strategy to its opponents, so it also doesn’t exploit the patterns and tendencies that human players unavoidably have. (This is what’s commonly regarded as “superhuman” performance for AI bots.)” In the case of six-player poker, we take the viewpoint that our goal should not be a specific game-theoretic solution concept, but rather to create an AI that empirically defeats human opponents consistently, including elite human professionals.

“The shortcomings of Nash equilibria outside of two-player zero-sum games have raised the question among researchers of what the right goal should even be in such games. Pluribus comes closer to the Nash equilibrium than humans.Īs the computer scientists put it in their stated objective for the project: It just took it to another level by executing a mastery of hand balance that humans struggle to achieve. Pluribus can’t play perfect poker, so it didn’t in any way solve six-handed no-limit hold’em. The Nash equilibrium strategy for that game would be to play rock, paper, and scissors with equal probability so your opponent can’t exploit you. Brown gave a rock-paper-scissors example to illustrate the concept. This is also called a “Nash equilibrium” strategy. The bot doesn’t have lapses in concentration, like mere mortals, and so it plays “superhuman” at every moment. In other words, it can play in such a way that humans don’t really have much of a chance to exploit it. Pluribus is capable of approaching what is known as Game Theory Optimal poker strategy in six-handed no-limit hold’em poker. Developing a superhuman AI for multiplayer poker was the widely-recognized main remaining milestone.” What the bot can do “However, all prior breakthroughs have been limited to settings involving only two players. “The past two decades have witnessed rapid progress in the ability of AI systems to play increasingly complex forms of poker,” they wrote in a paper published July 11 in the journal Science. Naturally, adding more players to the table was the next horizon to reach. The previous iteration of the poker AI, Libratus, was able to win convincingly against top players in heads-up no-limit hold’em back in 2017.

POKERTH DONK SOLUTION SERIES

The technology, dubbed Pluribus, is the latest in a series of poker AIs from computer scientists Noam Brown and Tuomas Sandholm, who hail from Carnegie Mellon University in Pittsburgh. By happenstance, as the WSOP Main Event was moving toward its conclusion, a new paper was released on a poker-playing AI that can win against elite players in six-handed no-limit hold’em.

Pokerth donk solution