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2 results for "offline reinforcement learning"

Database Credentialed Access

Insulin4RL: Real-Time Insulin Infusions For Offline Reinforcement Learning

Thomas Frost, Steve Harris

Offline reinforcement learning (RL) holds promise for improving healthcare decision-making. However, most existing approaches rely on discretising patient trajectories into strictly regular time intervals. This is done to improve compatibility with …
intensive care semi-markov decision process diabetes offline reinforcement learning insulin blood glucose machine learning
Published: June 15, 2026. Version: 1.0.0
Database Credentialed Access

Synthetic Acute Hypotension and Sepsis Datasets Based on MIMIC-III and Published as Part of the Health Gym Project

Nicholas Kuo, Simon Finfer, Louisa Jorm, et al.

These two synthetic datasets comprise vital signs, laboratory test results, administered fluid boluses and vasopressors for 3,910 patients with acute hypotension and for 2,164 patients with sepsis in the Intensive Care Unit (ICU). The patient cohort…
sepsis acute hypotension synthetic dataset generative modelling wasserstein generative adversarial network reinforcement learning machine learning
Published: Feb. 23, 2022. Version: 1.0.0