It also beat Kim more convincingly than previous AI had, over a sample size of 7,500 hands. In a match against poker pro Dong Kim, ReBeL “played faster than 2 seconds per hand and never needed more than 5 seconds for a decision,” the paper said. It learned to play poker without pre-computed shortcuts or bundled information on how to play poker without being exploitable. ![]() The paper made numerous references to ReBeL being fast - really fast. Previous bots have, but ReBeL apparently marks an enhancement to computer science’s mastery over poker, according to the paper. While ReBeL achieved so-called “superhuman” performance in heads-up no-limit hold’em, it’s not the first poker AI to reach that level. It appears that ReBeL could also raise the bar for poker, albeit in a way that is apparently indistinguishable to human players. Google’s AlphaZero, which is similar to ReBeL, not long ago set the chess world on fire with its relentlessly attacking style of play, which implied a deeper understanding of that game. Experimental results show that despite its simplicity, ReBeL is effective in large-scale two-player zero-sum imperfect-information games and defeats a top human professional with statistical significance in the benchmark game of heads-up no-limit Texas hold’em poker while using far less expert domain knowledge than any previous poker AI.” “Instead, our goal is to develop a simple, flexible, effective algorithm that leverages as little expert domain knowledge as possible. “Our goal in this paper is not to chase state-of-the-art performance by any means necessary,” they wrote. The work comes from Noam Brown, Anton Bakhtin, Adam Lerer, and Qucheng Gong at Facebook. Poker is considered “an imperfect-information game.” According to the paper, previous self-learning AI had trouble with games like poker. Unlike chess, poker is a game where players don’t have access to all the important information. Versions of poker AI have been able to beat top human players in heads-up no-limit hold’em since 2017, when one called Libratus took down a group of elite poker pros. The bot is apparently even stronger than the 2019 poker AI called Pluribus. Similar to the AlphaZero program that has revolutionized the chess world to some extent, the new bot called ReBeL (short for Recursive Belief-based Learning) can achieve superhuman performance in heads-up no-limit hold’em through “self-play reinforcement learning.” It’s worth watching if the field of AI versus people interests you-or if the fascinating, ancient game of Go does.Researchers at Facebook published a paper last week on a new poker AI that is apparently the most sophisticated to date and one that poses the greatest risk yet involving online poker play. That headline-grabbing tournament is the subject of an excellent documentary, called AlphaGo, currently streaming on Netflix. The new AI is similar to the artificial intelligence system that vanquished Lee Sedol in 2016. ![]() ![]() This same algorithm could be used to play other “full information” games, like the game of hex, with “no problem,” Schrittwieser says. In fact, in a blog item, DeepMind boasts that the AI is “the strongest player in history” for chess, shogi, and Go. For example, at shogi, AlphaZero took only two hours to start beating another program called Elmo. After that, it didn’t take long for it to start beating other computer programs that were already experts at those games. ![]() That training took some 13 days for the game of Go, but just 9 hours for chess. The network needs to be told the rules of the game first, and after that, it learns by playing games against itself.
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