![]() ![]() This includes tutoring systems that adapt to student needs, identify knowledge gaps, and suggest customized learning trajectories to enhance educational outcomes. ![]() Reinforcement learning can be used to create personalized learning experiences for students. The outputs are the treatment options or drug dosages for every stage of the patient’s journey. ![]() The input is a set of clinical observations and assessments of a patient. Reinforcement learning can be used to create personalized treatment strategies, known as dynamic treatment regimes (DTRs), for patients with long-term illnesses. All works in the EEB series were published in 1700 or earlier.Ī searchable archive of magazines devoted to religious topics, spanning 1845-2015.Some real-life applications of reinforcement learning include: Featuring over 900 individual items and more than 500,000 pages of content dedicated to the theme of history and chronicles, Collection 18 provides privileged access to the Arsenal's wealth of treasures in this area.ĮEB Collection 19 offers 1,000 titles about travel and journeys to Africa, the Americas, Asia, and many parts of Europe. EEB Collection 12 offers 1,200 titles from the Bibliothèque nationale in Paris, on topics of history and governance drawn from works published across France, from the earliest incunabula to items dating from the late 17th century.Įarly European Books Collection 16 presents a generous and insightful survey of French culture during the early modern period through a selection of printed items drawn from the holdings of the Bibliothèque nationale de France in Paris.Įarly European Books Collection 17 follows on from the previous collection's broad survey of the early modern French cultural scene by delivering a more specific focus on the theme of Statecraft and Law.Įarly European Books Collection 18 extends its coverage of content from the BnF in Paris through a selection drawn entirely from the Bibliothèque de l'Arsenal, a historic repository first made part of the French national library in 1934. ![]()
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