{"id":173659,"date":"2023-10-06T21:24:08","date_gmt":"2023-10-07T02:24:08","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2023\/10\/researchers-train-ai-with-reinforcement-learning-to-defeat-champion-street-fighter-players"},"modified":"2023-10-06T21:24:08","modified_gmt":"2023-10-07T02:24:08","slug":"researchers-train-ai-with-reinforcement-learning-to-defeat-champion-street-fighter-players","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2023\/10\/researchers-train-ai-with-reinforcement-learning-to-defeat-champion-street-fighter-players","title":{"rendered":"Researchers train AI with reinforcement learning to defeat champion Street Fighter players"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/researchers-train-ai-with-reinforcement-learning-to-defeat-champion-street-fighter-players2.jpg\"><\/a><\/p>\n<p>Researchers from the Singapore University of Technology and Design (SUTD) have successfully applied reinforcement learning to a video game problem. The research team created a new complicated movement design software based on an approach that has proven effective in board games like Chess and Go. In a single testing, the movements from the new approach appeared to be superior to those of top human players.<\/p>\n<p>These findings could possibly impact robotics and automation, ushering in a new era of movement design. The team\u2019s article in <i>Advanced Intelligence Systems<\/i> is titled \u201cA Phase-Change Memristive Reinforcement Learning for Rapidly Outperforming Champion Street Fighter Players.\u201d<\/p>\n<p>\u201cOur findings demonstrate that reinforcement learning can do more than just master simple <a href=\"https:\/\/techxplore.com\/tags\/board+games\/\" rel=\"tag\" class=\"\">board games<\/a>. The program excelled in creating more complex movements when trained to address long-standing challenges in movement science,\u201d said principal investigator Desmond Loke, Associate Professor, SUTD.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Researchers from the Singapore University of Technology and Design (SUTD) have successfully applied reinforcement learning to a video game problem. The research team created a new complicated movement design software based on an approach that has proven effective in board games like Chess and Go. In a single testing, the movements from the new approach [\u2026]<\/p>\n","protected":false},"author":427,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6,1491],"tags":[],"class_list":["post-173659","post","type-post","status-publish","format-standard","hentry","category-robotics-ai","category-transportation"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/173659","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\/427"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=173659"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/173659\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=173659"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=173659"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=173659"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}