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Updated: Jun 6, 2026

Assessing Changes in Volatile General Anesthetic Sensitivity of Mice after Local or Systemic Pharmacological Intervention
Published on: October 16, 2013
Reinforcement learning: a novel method for optimal control of propofol-induced hypnosis
Brett L Moore1, Anthony G Doufas, Larry D Pyeatt
1Department of Computer Science, Texas Tech University, P.O. Box 43104, Lubbock, TX 79409-3104, USA.
Abstract:
Reinforcement learning (RL) is an intelligent systems technique with a history of success in difficult robotic control problems. Similar machine learning techniques, such as artificial neural networks and fuzzy logic, have been successfully applied to clinical control problems. Although RL presents a mathematically robust method of achieving optimal control in systems challenged with noise, nonlinearity, time delay, and uncertainty, no application of RL in clinical anesthesia has been reported.
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