16 citations · 67 across the 21 of their papers we have counts for
4 papers · 1 filter
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…
Time-Aware Q-Networks: Resolving Temporal Irregularity for Deep Reinforcement Learning
Yeo Jin Kim, Min Chi
Deep Reinforcement Learning (DRL) has shown outstanding performance on inducing effective action policies that maximize expected long-term return on many complex tasks. Much of DRL…
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…
An Adversarial Domain Separation Framework for Septic Shock Early Prediction Across EHR Systems
Farzaneh Khoshnevisan, Min Chi
Modeling patient disease progression using Electronic Health Records (EHRs) is critical to assist clinical decision making. While most of prior work has mainly focused on developin…