{"id":123623,"date":"2021-06-09T21:22:21","date_gmt":"2021-06-10T04:22:21","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2021\/06\/deepmind-says-reinforcement-learning-is-enough-to-reach-general-ai"},"modified":"2021-06-09T21:22:21","modified_gmt":"2021-06-10T04:22:21","slug":"deepmind-says-reinforcement-learning-is-enough-to-reach-general-ai","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2021\/06\/deepmind-says-reinforcement-learning-is-enough-to-reach-general-ai","title":{"rendered":"DeepMind says reinforcement learning is enough to reach general AI"},"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\/mCn58l3fdGk?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; encrypted-media; gyroscope;\n   picture-in-picture\" allowfullscreen><\/iframe><\/p>\n<p>In their decades-long chase to create artificial intelligence, computer scientists have designed and developed all kinds of complicated mechanisms and technologies to replicate vision, language, reasoning, motor skills, and other abilities associated with intelligent life. While these efforts have resulted in AI systems that can efficiently solve specific problems in limited environments, they fall short of developing the kind of general intelligence seen in humans and animals.<\/p>\n<p>In a new paper submitted to the peer-reviewed <em>Artificial Intelligence <\/em>journal, scientists at <a href=\"https:\/\/venturebeat.com\/2020\/12\/27\/deepminds-big-losses-and-the-questions-around-running-an-ai-lab\/\">U.K.-based AI lab DeepMind<\/a> argue that intelligence and its associated abilities will emerge not from formulating and solving complicated problems but by sticking to a simple but powerful principle: reward maximization.<\/p>\n<p>Titled \u201c<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0004370221000862\" target=\"_blank\" rel=\"noreferrer noopener\">Reward is Enough<\/a>,\u201d the paper, which is still in pre-proof as of this writing, draws inspiration from studying the evolution of natural intelligence as well as drawing lessons from recent achievements in artificial intelligence. The authors suggest that reward maximization and trial-and-error experience are enough to develop behavior that exhibits the kind of abilities associated with intelligence. And from this, they conclude that reinforcement learning, a branch of AI that is based on reward maximization, can lead to the development of <a href=\"https:\/\/venturebeat.com\/2021\/01\/02\/leading-computer-scientists-debate-the-next-steps-for-ai-in-2021\/\">artificial general intelligence<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In their decades-long chase to create artificial intelligence, computer scientists have designed and developed all kinds of complicated mechanisms and technologies to replicate vision, language, reasoning, motor skills, and other abilities associated with intelligent life. While these efforts have resulted in AI systems that can efficiently solve specific problems in limited environments, they fall short [\u2026]<\/p>\n","protected":false},"author":396,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-123623","post","type-post","status-publish","format-standard","hentry","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/123623","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\/396"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=123623"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/123623\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=123623"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=123623"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=123623"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}