Improving Student-System Interaction Through Data-driven Explanations of Hierarchical Reinforcement Learning Induced Pedagogical Policies

Research article (Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020) · cited 15× · AI/ML
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Improving Student-System Interaction Through Data-driven Explanations of Hierarchical Reinforcement Learning Induced Pedagogical Policies

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APA 4ort.xyz Knowledge Graph. (2026). Improving Student-System Interaction Through Data-driven Explanations of Hierarchical Reinforcement Learning Induced Pedagogical Policies. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-student-system-interaction-through-data-driven-explanations-of-hierarchical-reinforcement-learning-induced-ped
MLA “Improving Student-System Interaction Through Data-driven Explanations of Hierarchical Reinforcement Learning Induced Pedagogical Policies.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-student-system-interaction-through-data-driven-explanations-of-hierarchical-reinforcement-learning-induced-ped.
BibTeX @misc{4ortxyz_improving-student-system-interaction-through-data-driven-explanations-of-hierarchical-reinforcement-learning-induced-ped_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving Student-System Interaction Through Data-driven Explanations of Hierarchical Reinforcement Learning Induced Pedagogical Policies}}, year = {2026}, url = {https://4ort.xyz/entity/improving-student-system-interaction-through-data-driven-explanations-of-hierarchical-reinforcement-learning-induced-ped}, note = {Accessed: 2026-05-24}}
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