{"id":131971,"date":"2021-12-08T01:23:54","date_gmt":"2021-12-08T09:23:54","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2021\/12\/player-of-games"},"modified":"2021-12-08T01:23:54","modified_gmt":"2021-12-08T09:23:54","slug":"player-of-games","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2021\/12\/player-of-games","title":{"rendered":"Player of Games"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/player-of-games.jpg\"><\/a><\/p>\n<p>Games have a long history of serving as a benchmark for progress in artificial intelligence. Recently, approaches using search and learning have shown strong performance across a set of perfect information games, and approaches using game-theoretic reasoning and learning have shown strong performance for specific imperfect information poker variants. We introduce, a general-purpose algorithm that unifies previous approaches, combining guided search, self-play\u2026 See more.<\/p>\n<hr>\n<p>Games have a long history of serving as a benchmark for progress in.<\/p>\n<p>Artificial intelligence. Recently, approaches using search and learning have.<\/p>\n<p>Shown strong performance across a set of perfect information games, and.<br \/> approaches using game-theoretic reasoning and learning have shown strong.<br \/> performance for specific imperfect information poker variants. We introduce.<br \/> Player of Games, a general-purpose algorithm that unifies previous approaches.<\/p>\n<p>Combining guided search, self-play learning, and game-theoretic reasoning.<br \/> Player of Games is the first algorithm to achieve strong empirical performance.<\/p>\n<p>In large perfect and imperfect information games \u2014 an important step towards.<\/p>\n<div class=\"more-link-wrapper\"> <a class=\"more-link\" href=\"https:\/\/lifeboat.com\/blog\/2021\/12\/player-of-games\">Continue reading \u201cPlayer of Games\u201d | &gt;<\/a><\/div><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Games have a long history of serving as a benchmark for progress in artificial intelligence. Recently, approaches using search and learning have shown strong performance across a set of perfect information games, and approaches using game-theoretic reasoning and learning have shown strong performance for specific imperfect information poker variants. We introduce, a general-purpose algorithm that [\u2026]<\/p>\n","protected":false},"author":359,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1509,41,6],"tags":[],"class_list":["post-131971","post","type-post","status-publish","format-standard","hentry","category-entertainment","category-information-science","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/131971","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/359"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=131971"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/131971\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=131971"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=131971"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=131971"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}