Axillary
发表于 2025-3-28 18:38:54
Milton Décimaut the actions it should take. After a while, the agent learns which actions yield the maximum reward. The ability of learning from interaction with a dynamic environment and using reward and punishment independent of any training data set makes reinforcement learning a suitable tool for e-learning
MOT
发表于 2025-3-28 20:13:30
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画布
发表于 2025-3-28 23:48:33
Lucia Zanabria Ruiztrieving resources and knowledge from networked environments...Presenting a wide-ranging survey of methods and applications from contributors from around the world, this book will be a valuable resource for researchers, practitioners and graduates..978-1-84996-585-9978-1-84628-758-9Series ISSN 1610-3947 Series E-ISSN 2197-8441
拥护
发表于 2025-3-29 05:11:24
Antonio José López Lópezle control structures. They are illustrated by example agents which can easily be understood and modified by the users. The framework has been successfully used and tested at different courses where the participants needed only few hours to understand the usage of the framework and to develop own ag
SNEER
发表于 2025-3-29 09:09:45
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Migratory
发表于 2025-3-29 15:13:37
current problems in e-learning practice on the basis of four aspects – pedagogy, culture, technology and e-practice – and determines that cultural sensitivity and effective cultural practices show room for improvement, while key technological challenges and issues like faculty polices, quality, LMS