{"id":27801,"date":"2025-04-30T09:38:55","date_gmt":"2025-04-30T07:38:55","guid":{"rendered":"https:\/\/blog.bib.uni-mannheim.de\/Aktuelles\/?p=27801"},"modified":"2025-06-13T12:55:16","modified_gmt":"2025-06-13T10:55:16","slug":"reinforcement-learning-for-business-economics-and-social-sciences","status":"publish","type":"post","link":"https:\/\/blog.bib.uni-mannheim.de\/Aktuelles\/?p=27801","title":{"rendered":"Reinforcement Learning for Business, Economics, and Social Sciences"},"content":{"rendered":"<div class=\"wp-block-image\">\n<figure class=\"alignleft size-medium\"><a href=\"https:\/\/blog.bib.uni-mannheim.de\/Aktuelles\/wp-content\/uploads\/2025\/04\/Reinforcement-Learning-for-Business-Economics-and-Social-Sciences-scaled.png\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"200\" src=\"https:\/\/blog.bib.uni-mannheim.de\/Aktuelles\/wp-content\/uploads\/2025\/04\/Reinforcement-Learning-for-Business-Economics-and-Social-Sciences-300x200.png\" alt=\"\" class=\"wp-image-27810\" srcset=\"https:\/\/blog.bib.uni-mannheim.de\/Aktuelles\/wp-content\/uploads\/2025\/04\/Reinforcement-Learning-for-Business-Economics-and-Social-Sciences-300x200.png 300w, https:\/\/blog.bib.uni-mannheim.de\/Aktuelles\/wp-content\/uploads\/2025\/04\/Reinforcement-Learning-for-Business-Economics-and-Social-Sciences-1024x683.png 1024w, https:\/\/blog.bib.uni-mannheim.de\/Aktuelles\/wp-content\/uploads\/2025\/04\/Reinforcement-Learning-for-Business-Economics-and-Social-Sciences-768x512.png 768w, https:\/\/blog.bib.uni-mannheim.de\/Aktuelles\/wp-content\/uploads\/2025\/04\/Reinforcement-Learning-for-Business-Economics-and-Social-Sciences-1536x1024.png 1536w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/figure>\n<\/div>\n\n\n<p>Wie lernen Maschinen, die richtigen Entscheidungen zu treffen? Wie k\u00f6nnen Einzelpersonen, Unternehmen, Organisationen und Forschende von automatisierter Entscheidungsfindung profitieren?<\/p>\n\n\n\n<p>Der kostenlose<strong> Online-Kurs mit Davud Rostam-Afschar<\/strong> bietet eine <strong>Einf\u00fchrung in die Grundlagen des Reinforcement Learning (RL)<\/strong>, eines Entscheidungsrahmens auf Basis von teilweisem, verz\u00f6gertem oder implizitem Feedback.<\/p>\n\n\n\n<p>Reinforcement Learning gewinnt zunehmend an Bedeutung in der BWL, VWL und den Sozialwissenschaften \u2013 etwa bei adaptiven Experimenten, sequenzieller Entscheidungsfindung und personalisierten Empfehlungen.<\/p>\n\n\n\n<div style=\"height:3px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Kursstart:<\/strong> 17. Juni 2025, 16:30\u201317:30 Uhr<\/li>\n\n\n\n<li><strong>Bewerbungsschluss:<\/strong> 12. Mai 2025<\/li>\n<\/ul>\n\n\n\n<div style=\"height:7px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>\u00dcber vier Wochen werden zentrale Konzepte wie Multi-Armed Bandits, Markov-Entscheidungsprozesse, dynamische Programmierung und Temporal-Difference-Lernen behandelt, unterst\u00fctzt durch Videoinhalte, Praxisbeispiele und interaktive Online-Sitzungen.<\/p>\n\n\n\n<p><strong>Weitere Informationen und Bewerbung:<\/strong> <a href=\"https:\/\/www.berd-nfdi.de\/berd-academy\/reinforcement-learning-2025\/\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/www.berd-nfdi.de\/berd-academy\/reinforcement-learning-2025\/<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading englisch\">Reinforcement Learning for Business, Economics, and Social Sciences<\/h2>\n\n\n\n<p class=\"englisch\">How do machines learn to make the right choices? How can individuals, firms, organizations, and researchers benefit from automated decision-making?<\/p>\n\n\n\n<p class=\"englisch\">This free <strong>online course with Davud Rostam-Afschar introduces the fundamentals of Reinforcement Learning (RL)<\/strong>, a framework for decision-making based on partial, delayed, or implicit feedback. RL is increasingly relevant in business, economics, and the social sciences for applications such as adaptive experiments, sequential decision-making, and personalized recommendations.<\/p>\n\n\n\n<div style=\"height:3px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<ul class=\"wp-block-list englisch\">\n<li class=\"englisch\"><strong>Starting:<\/strong> 17 June 2025, 4:30 pm-5:30 p.m.<\/li>\n\n\n\n<li class=\"englisch\"><strong>Application deadline: <\/strong>12 May 2025<\/li>\n<\/ul>\n\n\n\n<div style=\"height:7px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"englisch\">Over four weeks, you will explore core concepts such as multi-armed bandits, Markov decision processes, dynamic programming, and temporal-difference learning \u2013 supported by video content, real-world applications, and interactive online sessions.<\/p>\n\n\n\n<p class=\"englisch\"><strong>More details and application:<\/strong> <a href=\"https:\/\/www.berd-nfdi.de\/berd-academy\/reinforcement-learning-2025\/\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/www.berd-nfdi.de\/berd-academy\/reinforcement-learning-2025\/<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Wie lernen Maschinen, die richtigen Entscheidungen zu treffen? Wie k\u00f6nnen Einzelpersonen, Unternehmen, Organisationen und Forschende von automatisierter Entscheidungsfindung profitieren? Der kostenlose Online-Kurs mit Davud Rostam-Afschar bietet eine Einf\u00fchrung in die Grundlagen des Reinforcement Learning (RL), eines Entscheidungsrahmens auf Basis von &hellip; <a href=\"https:\/\/blog.bib.uni-mannheim.de\/Aktuelles\/?p=27801\">Weiterlesen <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":38,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4,1,2,8],"tags":[],"class_list":["post-27801","post","type-post","status-publish","format-standard","hentry","category-aktuelles","category-allgemein","category-services","category-veranstaltungen"],"views":659,"_links":{"self":[{"href":"https:\/\/blog.bib.uni-mannheim.de\/Aktuelles\/index.php?rest_route=\/wp\/v2\/posts\/27801","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.bib.uni-mannheim.de\/Aktuelles\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.bib.uni-mannheim.de\/Aktuelles\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.bib.uni-mannheim.de\/Aktuelles\/index.php?rest_route=\/wp\/v2\/users\/38"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.bib.uni-mannheim.de\/Aktuelles\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=27801"}],"version-history":[{"count":0,"href":"https:\/\/blog.bib.uni-mannheim.de\/Aktuelles\/index.php?rest_route=\/wp\/v2\/posts\/27801\/revisions"}],"wp:attachment":[{"href":"https:\/\/blog.bib.uni-mannheim.de\/Aktuelles\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=27801"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.bib.uni-mannheim.de\/Aktuelles\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=27801"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.bib.uni-mannheim.de\/Aktuelles\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=27801"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}