{"id":3339,"date":"2019-07-12T13:24:31","date_gmt":"2019-07-12T12:24:31","guid":{"rendered":"https:\/\/www.moneypokersites.com\/news\/?p=3339"},"modified":"2019-07-12T13:24:31","modified_gmt":"2019-07-12T12:24:31","slug":"pluribus-poker-ai-dominates-human-players","status":"publish","type":"post","link":"https:\/\/www.moneypokersites.com\/news\/pluribus-poker-ai-dominates-human-players\/","title":{"rendered":"Pluribus Poker AI Dominates Human Players"},"content":{"rendered":"\n<p>The world of competitive poker has a new top dog in the face of <strong>Pluribus<\/strong>, a poker AI developed for nearly two decades and backed by scientists at both <strong>Carnegie Mellon University <\/strong>and <strong>Facebook&#8217;s AI <\/strong>division.  <\/p>\n\n\n\n<p>Pluribus is the result of\nthese past 16 years of diligent research and the efforts of Carnegie\nProfessor <strong>Tuomas Sandholm<\/strong> and PhD student <strong>Noam Brown<\/strong>,\nwho works at Facebook AI. The researchers put the latest iteration of\ntheir AI to the test against two distinct poker professionals, to\nname <strong>Darren Ellis<\/strong> and <a href=\"https:\/\/pokerdb.thehendonmob.com\/player.php?a=r&amp;n=82\"><strong>Chris\n\u201cJesus\u201d Ferguson<\/strong><\/a>.<\/p>\n\n\n\n<p>Was the bar adequately\nhigh, you probably wonder? Absolutely, as Elias holds four World\nSeries of Poker titles and Ferguson has won countless live\ntournaments. To avoid statistical inaccuracy, Pluribus played 5,000\nhands against <strong>Elias<\/strong> and <strong>Ferguson<\/strong> each, winning with a\nfair margin over the opponents.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Let&#8217;s Talk Real Challenge: Pluribus\nVs. Everyone<\/h2>\n\n\n\n<p>Both predecessors of the\nsoftware, to name <a href=\"https:\/\/www.theverge.com\/2017\/1\/25\/14358246\/ai-poker-tournament-cmu-libratus-vs-human-losing\"><strong>Claudico<\/strong>\nand <strong>Libratus<\/strong><\/a>, have been adept at taking on single\nopponents. No questions there. However, Pluribus has been a\nsignificant upgrade, allowing the software to handle multiple\nopponents at the same table.<\/p>\n\n\n\n<p>Not that everyone played against Pluribus, but rather the AI&#8217;s ability to make decisions against multiple opponents was tested. Pluribus did well. The team behind the project had created a sort of a blueprint which allowed the AI to analyze the game and establish a basic behavior.<\/p>\n\n\n\n<p>Even more, Pluribus was analyzing up to <strong>6 million possible outcomes<\/strong>, going back as many as four plays for each individual player. This computing power, you would think, is what gave the AI it&#8217;s edge. Yes and no.  <\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Pluribus&#8217; Got Tricks Up Its Sleeve \n<\/h2>\n\n\n\n<p>According to players and researchers, the real advantage the AI had was its ability to avoid <strong>\u201climping\u201d<\/strong> and use a strategy known as <strong>\u201cdonk betting\u201d<\/strong>. These two terms are contradictory. Limping means that you involve yourself in a hand that you cannot win and that don&#8217;t want to raise.  <\/p>\n\n\n\n<p>This immediately signals players your inability or doubt to win. However, when Pluribus uses donk betting it basically \u201climps\u201d, but then immediately raises on the next turn. People players interpret this as a buff or a sing of weakness, but Pluribus means business. <\/p>\n\n\n\n<p>The\nupshot is that human players are met with an AI that completely\nrandomizes its game to the point where it&#8217;s impossible to guess\nwhat&#8217;s going on next. This is precisely what poker pros have long\nhoped for themselves \u2013 to be unpredictable. Humans struggle with\nunpredictability, but computers can <em>fake\nit very well<\/em>,\nsimilar to a casino&#8217;s <strong>Random\nNumber Generator (RNG)<\/strong>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Sending the Poker World in Disarray \n<\/h2>\n\n\n\n<p>One\nthing the Sandholm team won&#8217;t do is to release the source code of\nPluribus. This way everyone can rest assured that the authenticity of\npoker events will be kept intact. It took the team 16 years to put\ntogether a working solution, and even though you could create it for\n<strong>$150<\/strong>, the hard skills and knowledge needed to develop it will\ntake you a while.<\/p>\n\n\n\n<p>Facebook\nand Carnegie Mellon University has decided to license their software\nto be used by <strong>military intelligence services<\/strong> and <strong>the video\ngaming industry<\/strong>. Yet, the implications of Pluribus can be much\nbigger when and if the company decide to license other industries.   \n<\/p>\n","protected":false},"excerpt":{"rendered":"The world of competitive poker has a new top dog in the face of Pluribus, a poker AI developed for nearly two decades and backed by scientists at both Carnegie Mellon University and Facebook&#8217;s AI division. Pluribus is the result of these past 16 years of diligent research and the efforts of Carnegie Professor Tuomas [&hellip;]","protected":false},"author":3,"featured_media":3341,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-3339","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Pluribus Poker AI Dominates Human Players - Money Poker Sites News<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.moneypokersites.com\/news\/pluribus-poker-ai-dominates-human-players\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pluribus Poker AI Dominates Human Players - Money Poker Sites News\" \/>\n<meta property=\"og:description\" content=\"The world of competitive poker has a new top dog in the face of Pluribus, a poker AI developed for nearly two decades and backed by scientists at both Carnegie Mellon University and Facebook&#8217;s AI division. 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How technology meets poker is Georgina's mission in life to tell her readers. She's also involved with other sectors of the industry, paying close attention to how the blockchain technology is offering fresh opportunities for poker and players to play quicker and safer than before. 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