3 citations · 7 across the 5 of their papers we have counts for
5 papers · 1 filter
A Generalized Apprenticeship Learning Framework for Capturing Evolving Student Pedagogical Strategies
Md Mirajul Islam, Xi Yang, Adittya Soukarjya Saha +2
Reinforcement Learning (RL) and Deep Reinforcement Learning (DRL) have advanced rapidly in recent years and have been successfully applied to e-learning environments like intellige…
Attention-Based Reward Shaping for Sparse and Delayed Rewards
Ian Holmes, Min Chi
Sparse and delayed reward functions pose a significant obstacle for real-world Reinforcement Learning (RL) applications. In this work, we propose Attention-based REward Shaping (AR…
Off-Policy Selection for Initiating Human-Centric Experimental Design
Ge Gao, Xi Yang, Qitong Gao +3
In human-centric tasks such as healthcare and education, the heterogeneity among patients and students necessitates personalized treatments and instructional interventions. While r…
A Generalized Apprenticeship Learning Framework for Modeling Heterogeneous Student Pedagogical Strategies
Md Mirajul Islam, Xi Yang, John Hostetter +2
A key challenge in e-learning environments like Intelligent Tutoring Systems (ITSs) is to induce effective pedagogical policies efficiently. While Deep Reinforcement Learning (DRL)…
Off-Policy Evaluation for Human Feedback
Qitong Gao, Ge Gao, Juncheng Dong +3
Off-policy evaluation (OPE) is important for closing the gap between offline training and evaluation of reinforcement learning (RL), by estimating performance and/or rank of target…