{"id":92,"date":"2024-12-09T11:39:52","date_gmt":"2024-12-09T11:39:52","guid":{"rendered":"https:\/\/nexivis.ai\/?p=92"},"modified":"2025-01-18T19:12:47","modified_gmt":"2025-01-18T19:12:47","slug":"reinforcement-learning","status":"publish","type":"post","link":"https:\/\/nexivis.ai\/en\/blog\/wiki\/reinforcement-learning\/","title":{"rendered":"Reinforcement Learning"},"content":{"rendered":"<p>Reinforcement learning is a method of machine learning in which an agent learns to perform optimal actions by interacting with its environment. The agent receives rewards or punishments for its actions and adapts its behaviour accordingly to maximize the overall reward. This technique has proven to be particularly effective in areas such as robotics, game strategies and autonomous systems.<\/p>\n\n\n\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>Reinforcement Learning ist eine Methode des maschinellen Lernens, bei der ein Agent durch Interaktion mit seiner Umgebung lernt, optimale Aktionen auszuf\u00fchren. Der Agent erh\u00e4lt Belohnungen oder Bestrafungen f\u00fcr seine Aktionen und passt sein Verhalten entsprechend an, um die Gesamtbelohnung zu maximieren. Diese Technik hat sich besonders in Bereichen wie Robotik, Spielstrategien und autonomen Systemen als [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":82,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-92","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-wiki"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v24.4 (Yoast SEO v26.8) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Reinforcement Learning - Nexivis<\/title>\n<meta name=\"description\" content=\"Reinforcement Learning ist eine Methode des maschinellen Lernens, bei der ein Agent durch Interaktion mit seiner Umgebung lernt.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/nexivis.ai\/en\/blog\/wiki\/reinforcement-learning\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Reinforcement Learning\" \/>\n<meta property=\"og:description\" content=\"Reinforcement Learning ist eine Methode des maschinellen Lernens, bei der ein Agent durch Interaktion mit seiner Umgebung lernt.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/nexivis.ai\/en\/blog\/wiki\/reinforcement-learning\/\" \/>\n<meta property=\"og:site_name\" content=\"Nexivis\" \/>\n<meta property=\"article:published_time\" content=\"2024-12-09T11:39:52+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-01-18T19:12:47+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/nexivis.ai\/wp-content\/uploads\/2024\/12\/vektor-halbton-abstrakt-C3BCbergang-gepunktete-rundschreiben.jpg_s1024x1024wisk20cGQe9dO2uWCNmVxwSedfflDI8eOW7sxoAhjEMwcOa18Y.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1024\" \/>\n\t<meta property=\"og:image:height\" content=\"682\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"admin\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"admin\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/nexivis.ai\/blog\/wiki\/reinforcement-learning\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/nexivis.ai\/blog\/wiki\/reinforcement-learning\/\"},\"author\":{\"name\":\"admin\",\"@id\":\"https:\/\/nexivis.ai\/#\/schema\/person\/f5d88018a19e0cbf6cc207f41dec658d\"},\"headline\":\"Reinforcement Learning\",\"datePublished\":\"2024-12-09T11:39:52+00:00\",\"dateModified\":\"2025-01-18T19:12:47+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/nexivis.ai\/blog\/wiki\/reinforcement-learning\/\"},\"wordCount\":62,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/nexivis.ai\/#organization\"},\"image\":{\"@id\":\"https:\/\/nexivis.ai\/blog\/wiki\/reinforcement-learning\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/nexivis.ai\/wp-content\/uploads\/2024\/12\/vektor-halbton-abstrakt-C3BCbergang-gepunktete-rundschreiben.jpg_s1024x1024wisk20cGQe9dO2uWCNmVxwSedfflDI8eOW7sxoAhjEMwcOa18Y.jpg\",\"articleSection\":[\"Wiki\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/nexivis.ai\/blog\/wiki\/reinforcement-learning\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/nexivis.ai\/blog\/wiki\/reinforcement-learning\/\",\"url\":\"https:\/\/nexivis.ai\/blog\/wiki\/reinforcement-learning\/\",\"name\":\"Reinforcement Learning - 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