{"id":127738,"date":"2021-09-16T16:22:52","date_gmt":"2021-09-16T23:22:52","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2021\/09\/intel-ai-team-proposes-a-novel-machine-learning-ml-technique-multiagent-evolutionary-reinforcement-learning-merl-for-teaching-robots-teamwork"},"modified":"2021-09-16T16:22:52","modified_gmt":"2021-09-16T23:22:52","slug":"intel-ai-team-proposes-a-novel-machine-learning-ml-technique-multiagent-evolutionary-reinforcement-learning-merl-for-teaching-robots-teamwork","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2021\/09\/intel-ai-team-proposes-a-novel-machine-learning-ml-technique-multiagent-evolutionary-reinforcement-learning-merl-for-teaching-robots-teamwork","title":{"rendered":"Intel AI Team Proposes A Novel Machine Learning (ML) Technique, \u2018Multiagent Evolutionary Reinforcement Learning (MERL)\u2019 For Teaching Robots Teamwork"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/intel-ai-team-proposes-a-novel-machine-learning-ml-technique-multiagent-evolutionary-reinforcement-learning-merl-for-teaching-robots-teamwork3.jpg\"><\/a><\/p>\n<p>Reinforcement learning is an interesting area of machine learning (ML) that has advanced rapidly in recent years. AlphaGo is one such RL-based computer program that has defeated a professional human Go player, a breakthrough that experts feel was a decade ahead of its time.<\/p>\n<p>Reinforcement learning differs from supervised learning because it does not need the labelled input\/output pairings for training or the explicit correction of sub-optimal actions. Instead, it investigates how intelligent agents should behave in a particular situation to maximize the concept of cumulative reward.<\/p>\n<p>This is a huge plus when working with real-world applications that don\u2019t come with a tonne of highly curated observations. Furthermore, when confronted with a new circumstance, RL agents can acquire methods that allow them to behave even in an unclear and changing environment, relying on their best estimates at the proper action.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Reinforcement learning is an interesting area of machine learning (ML) that has advanced rapidly in recent years. AlphaGo is one such RL-based computer program that has defeated a professional human Go player, a breakthrough that experts feel was a decade ahead of its time. Reinforcement learning differs from supervised learning because it does not need [\u2026]<\/p>\n","protected":false},"author":396,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1522,6],"tags":[],"class_list":["post-127738","post","type-post","status-publish","format-standard","hentry","category-innovation","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/127738","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=127738"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/127738\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=127738"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=127738"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=127738"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}