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This paper studies the use of Reinforcement Learning (RL) policies for optimizing the sequencing of learning materials to maximize learning as measured by expected future student performance. We conduct the training completely offline based on the pu
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https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ab68b922e8a6d90f1d7d0c49d6f90e6