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ExpanRL: Hierarchical Reinforcement Learning for Course Concept Expansion in MOOCs

Jifan Yu, Chenyu Wang, Gan Luo, Lei Hou, Juanzi Li, Jie Tang, Minlie Huang, Zhiyuan Liu
2020 International Joint Conference on Natural Language Processing  
In this paper, we present Ex-panRL, an end-to-end hierarchical reinforcement learning (HRL) model for concept expansion in MOOCs.  ...  Employing a two-level HRL mechanism of seed selection and concept expansion, ExpanRL is more feasible to adjust the expansion strategy to find new concepts based on the students' feedback on expansion  ...  And based on the feedback, we propose ExpanRL, a hierarchical reinforcement learning framework for course concept expansion in MOOCs, which decomposes the concept expansion task into a hierarchy of two  ... 
dblp:conf/ijcnlp/YuWLHLTHL20 fatcat:7kulshiiibh65kw6omj7hfpxky