7 citations · 12 across the 4 of their papers we have counts for
4 papers
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…
Preparing Unprepared Students For Future Learning
Mark Abdelshiheed, Mehak Maniktala, Song Ju +3
Based on strategy-awareness (knowing which problem-solving strategy to use) and time-awareness (knowing when to use it), students are categorized into Rote (neither type of awarene…
HOPE: Human-Centric Off-Policy Evaluation for E-Learning and Healthcare
Ge Gao, Song Ju, Markel Sanz Ausin +1
Reinforcement learning (RL) has been extensively researched for enhancing human-environment interactions in various human-centric tasks, including e-learning and healthcare. Since…
InferNet for Delayed Reinforcement Tasks: Addressing the Temporal Credit Assignment Problem
Markel Sanz Ausin, Hamoon Azizsoltani, Song Ju +2
The temporal Credit Assignment Problem (CAP) is a well-known and challenging task in AI. While Reinforcement Learning (RL), especially Deep RL, works well when immediate rewards ar…