3 citations · 5 across the 14 of their papers we have counts for
5 papers · 1 filter
Action-Conditioned Risk Gating for Safety-Critical Control under Partial Observability
Yushen Liu, Yin-Jen Chen, Ziyi Chen +4
Many safety-critical control problems are modeled as risk-sensitive partially observable Markov decision processes, where the controller must make decisions from incomplete observa…
Integrating Neural Differential Forecasting with Safe Reinforcement Learning for Blood Glucose Regulation
Yushen Liu, Yanfu Zhang, Xugui Zhou
Automated insulin delivery for Type 1 Diabetes must balance glucose control and safety under uncertain meals and physiological variability. While reinforcement learning (RL) enable…
Short: Basal-Adjust: Trend Prediction Alerts and Adjusted Basal Rates for Hyperglycemia Prevention
Chloe Smith, Maxfield Kouzel, Xugui Zhou +1
Significant advancements in type 1 diabetes treatment have been made in the development of state-of-the-art Artificial Pancreas Systems (APS). However, lapses currently exist in th…
Towards Developing Safety Assurance Cases for Learning-Enabled Medical Cyber-Physical Systems
Maryam Bagheri, Josephine Lamp, Xugui Zhou +2
Machine Learning (ML) technologies have been increasingly adopted in Medical Cyber-Physical Systems (MCPS) to enable smart healthcare. Assuring the safety and effectiveness of lear…
Robustness Testing of Data and Knowledge Driven Anomaly Detection in Cyber-Physical Systems
Xugui Zhou, Maxfield Kouzel, Homa Alemzadeh
The growing complexity of Cyber-Physical Systems (CPS) and challenges in ensuring safety and security have led to the increasing use of deep learning methods for accurate and scala…