{"id":7278,"date":"2023-12-28T18:08:43","date_gmt":"2023-12-28T14:38:43","guid":{"rendered":"https:\/\/www.icad.com\/?p=7278"},"modified":"2024-11-26T11:33:44","modified_gmt":"2024-11-26T08:03:44","slug":"huge-ai-breakthrough-using-crowdsourced-feedback-in-robot-training","status":"publish","type":"post","link":"https:\/\/www.icad.com\/huge-ai-breakthrough-using-crowdsourced-feedback-in-robot-training\/","title":{"rendered":"HuGE AI Breakthrough: Using Crowdsourced Feedback in Robot Training"},"content":{"rendered":"<p>A novel reinforcement learning method, HuGE, developed by MIT, Harvard, and the University of Washington researchers, uses crowdsourced feedback to efficiently teach AI agents complex tasks, showing promising results in both simulations and real-world applications. Human Guided Exploration (HuGE) enables AI agents to learn quickly with some help from humans, even if the humans make mistakes.<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"alignnone size-full wp-image-7279\" src=\"https:\/\/i0.wp.com\/www.icad.com\/wp-content\/uploads\/2024\/04\/R1.webp?resize=500%2C392&#038;ssl=1\" alt=\"\" width=\"500\" height=\"392\" srcset=\"https:\/\/i0.wp.com\/www.icad.com\/wp-content\/uploads\/2024\/04\/R1.webp?w=500&amp;ssl=1 500w, https:\/\/i0.wp.com\/www.icad.com\/wp-content\/uploads\/2024\/04\/R1.webp?resize=320%2C251&amp;ssl=1 320w\" sizes=\"(max-width: 500px) 100vw, 500px\" data-recalc-dims=\"1\" \/><\/p>\n<p>Source: <a href=\"https:\/\/bit.ly\/48eokFh\">https:\/\/bit.ly\/48eokFh<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>A novel reinforcement learning method, HuGE, developed by MIT, Harvard, and the University of Washington researchers, uses crowdsourced feedback to efficiently teach AI agents complex tasks, showing promising results in both simulations and real-world applications. Human Guided Exploration (HuGE) enables AI agents to learn quickly with some help from humans, even if the humans make&#8230;<\/p>\n","protected":false},"author":1,"featured_media":7279,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[52],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.0 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>HuGE AI Breakthrough: Using Crowdsourced Feedback in Robot Training - ICAD<\/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.icad.com\/huge-ai-breakthrough-using-crowdsourced-feedback-in-robot-training\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"HuGE AI Breakthrough: Using Crowdsourced Feedback in Robot Training - ICAD\" \/>\n<meta property=\"og:description\" content=\"A novel reinforcement learning method, HuGE, developed by MIT, Harvard, and the University of Washington researchers, uses crowdsourced feedback to efficiently teach AI agents complex tasks, showing promising results in both simulations and real-world applications. 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