{"id":224031,"date":"2025-10-26T04:03:31","date_gmt":"2025-10-26T09:03:31","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2025\/10\/deepmind-introduces-ai-agent-that-learns-to-complete-various-tasks-in-a-scalable-world-model"},"modified":"2025-10-26T04:03:31","modified_gmt":"2025-10-26T09:03:31","slug":"deepmind-introduces-ai-agent-that-learns-to-complete-various-tasks-in-a-scalable-world-model","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2025\/10\/deepmind-introduces-ai-agent-that-learns-to-complete-various-tasks-in-a-scalable-world-model","title":{"rendered":"DeepMind introduces AI agent that learns to complete various tasks in a scalable world model"},"content":{"rendered":"<p><\/p>\n<p><iframe style=\"display: block; margin: 0 auto; width: 100%; aspect-ratio: 4\/3; object-fit: contain;\" src=\"https:\/\/www.youtube.com\/embed\/oDlBtTcX0g0?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; encrypted-media; gyroscope;\n   picture-in-picture\" allowfullscreen><\/iframe><\/p>\n<p>Over the past decade, deep learning has transformed how artificial intelligence (AI) agents perceive and act in digital environments, allowing them to master board games, control simulated robots and reliably tackle various other tasks. Yet most of these systems still depend on enormous amounts of direct experience\u2014millions of trial-and-error interactions\u2014to achieve even modest competence.<\/p>\n<p>This brute-force approach limits their usefulness in the physical world, where such experimentation would be slow, costly, or unsafe.<\/p>\n<p>To overcome these limitations, researchers have turned to world models\u2014simulated environments where agents can safely practice and learn.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Over the past decade, deep learning has transformed how artificial intelligence (AI) agents perceive and act in digital environments, allowing them to master board games, control simulated robots and reliably tackle various other tasks. Yet most of these systems still depend on enormous amounts of direct experience\u2014millions of trial-and-error interactions\u2014to achieve even modest competence. This [\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],"tags":[],"class_list":["post-224031","post","type-post","status-publish","format-standard","hentry","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/224031","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=224031"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/224031\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=224031"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=224031"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=224031"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}