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Reinforcement Learning: the Sooner the Better, or the Later the Better?

, and . UMAP, page 37-44. ACM, (2016)

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Clustering Student Sequential Trajectories Using Dynamic Time Wrapping., and . EDM, International Educational Data Mining Society (IEDMS), (2017)Empirically Evaluating the Effectiveness of POMDP vs. MDP Towards the Pedagogical Strategies Induction., , , , and . AIED (2), volume 10948 of Lecture Notes in Computer Science, page 327-331. Springer, (2018)Reciprocity in Student Online Discussions., , and . CSCL (2), page 157-160. International Society of the Learning Sciences, LuLu, Amazon, (2013)Jointly Multi-Similarity Loss for Deep Metric Learning., , , , , and . ICDM, page 1469-1474. IEEE, (2021)Importance Sampling to Identify Empirically Valid Policies and their Critical Decisions., , , , and . EDM (Workshops), volume 2592 of CEUR Workshop Proceedings, page 69-78. CEUR-WS.org, (2019)Anomaly detection in dynamic networks: a survey, , , , , and . Wiley Interdisciplinary Reviews: Computational Statistics, 7 (3): 223--247 (2015)Incorporating Student Response Time and Tutor Instructional Interventions into Student Modeling., , and . UMAP, page 157-161. ACM, (2016)Aim Low: Correlation-based Feature Selection for Model-based Reinforcement Learning., and . EDM, page 507-512. International Educational Data Mining Society (IEDMS), (2016)When Box Meets Graph Neural Network in Tag-aware Recommendation., , , , , , , , and . KDD, page 1770-1780. ACM, (2024)DynLLM: When Large Language Models Meet Dynamic Graph Recommendation., , , , , , , , and . CoRR, (2024)