Model-Free Machine Learning in Biomedicine: Feasibility Study in Type 1 Diabetes

On-line policy learning and adaptation for real-time personalization of an artificial pancreas

(2015) Mariano De Paula et al.   EXPERT SYSTEMS WITH APPLICATIONS

Dynamic pricing policies for interdependent perishable products or services using reinforcement learning

(2015) Rupal Rana et al.   EXPERT SYSTEMS WITH APPLICATIONS

Data collection as a barrier to personalized medicine

(2015) David Zakim et al.   TRENDS IN PHARMACOLOGICAL SCIENCES

Multi-timescale nexting in a reinforcement learning robot

(2014) Joseph Modayil et al.   ADAPTIVE BEHAVIOR

Closed-Loop Artificial Pancreas Systems: Physiological Input to Enhance Next-Generation Devices

(2014) Yogish C. Kudva et al.   DIABETES CARE

Safety of Outpatient Closed-Loop Control: First Randomized Crossover Trials of a Wearable Artificial Pancreas

(2014) Boris P. Kovatchev et al.   DIABETES CARE

Closed-Loop Artificial Pancreas Systems: Engineering the Algorithms

(2014) Francis J. Doyle et al.   DIABETES CARE

Feasibility Study of a Bio-inspired Artificial Pancreas in Adults with Type 1 Diabetes

(2014) Monika Reddy et al.   Diabetes Technology & Therapeutics

Automated Control of an Adaptive Bihormonal, Dual-Sensor Artificial Pancreas and Evaluation During Inpatient Studies

(2014) Peter G. Jacobs et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

SU-E-T-229: Machine Learning Methods for Knowledge Based Treatment Planning of Prostate Cancer

(2014) L Hu et al.   MEDICAL PHYSICS

Outpatient Glycemic Control with a Bionic Pancreas in Type 1 Diabetes

(2014) Steven J. Russell et al.   NEW ENGLAND JOURNAL OF MEDICINE

Adaptive Control of Artificial Pancreas Systems - A Review

(2014) Kamuran Turksoy et al.   Journal of Healthcare Engineering

Home use of closed-loop insulin delivery for overnight glucose control in adults with type 1 diabetes: a 4-week, multicentre, randomised crossover study

(2014) Hood Thabit et al.   Lancet Diabetes & Endocrinology

Day and Night Closed-Loop Control in Adults With Type 1 Diabetes: A comparison of two closed-loop algorithms driving continuous subcutaneous insulin infusion versus patient self-management

(2013) Y. M. Luijf et al.   DIABETES CARE

Quantitative Estimation of Insulin Sensitivity in Type 1 Diabetic Subjects Wearing a Sensor-Augmented Insulin Pump

(2013) Michele Schiavon et al.   DIABETES CARE

The use of reinforcement learning algorithms to meet the challenges of an artificial pancreas

(2013) Melanie K Bothe et al.   Expert Review of Medical Devices

Automatic identification of heart failure diagnostic criteria, using text analysis of clinical notes from electronic health records

(2013) Roy J. Byrd et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

Reinforcement learning in robotics: A survey

(2013) Jens Kober et al.   INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH

Night glucose control with MD-Logic artificial pancreas in home setting: a single blind, randomized crossover trial-interim analysis

(2013) Revital Nimri et al.   PEDIATRIC DIABETES

Robust Automated Detection of Microstructural White Matter Degeneration in Alzheimer’s Disease Using Machine Learning Classification of Multicenter DTI Data

(2013) Martin Dyrba et al.   PLoS One

MPC based Artificial Pancreas: Strategies for individualization and meal compensation

(2012) P. Soru et al.   ANNUAL REVIEWS IN CONTROL

Challenges and recent progress in the development of a closed-loop artificial pancreas

(2012) B. Wayne Bequette   ANNUAL REVIEWS IN CONTROL

An Actor–Critic based controller for glucose regulation in type 1 diabetes

(2012) Elena Daskalaki et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Closed-Loop Basal Insulin Delivery Over 36 Hours in Adolescents With Type 1 Diabetes: Randomized clinical trial

(2012) D. Elleri et al.   DIABETES CARE

Closed-Loop Insulin Therapy Improves Glycemic Control in Children Aged

(2012) A. Dauber et al.   DIABETES CARE

Dynamic reconfiguration of shipboard power systems using reinforcement learning

(2012) Sanjoy Das et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

A Survey of Actor-Critic Reinforcement Learning: Standard and Natural Policy Gradients

(2012) Ivo Grondman et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE

Extended multiple model prediction with application to blood glucose regulation

(2012) Fraser Cameron et al.   JOURNAL OF PROCESS CONTROL

Automatic Learning Algorithm for the MD-Logic Artificial Pancreas System

(2011) Shahar Miller et al.   Diabetes Technology & Therapeutics

Real-Time Adaptive Models for the Personalized Prediction of Glycemic Profile in Type 1 Diabetes Patients

(2011) Elena Daskalaki et al.   Diabetes Technology & Therapeutics

Natural actor–critic algorithms

(2009) Shalabh Bhatnagar et al.   AUTOMATICA

Natural Actor-Critic

(2008) Jan Peters et al.   NEUROCOMPUTING