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Reinforcement Learning: A Novel Method for Optimal Control of Propofol-Induced Hypnosis ANESTHESIA AND ANALGESIA Moore, B. L., Doufas, A. G., Pyeatt, L. D. 2011; 112 (2): 360-367

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.

View details for DOI 10.1213/ANE.0b013e31820334a7

View details for Web of Science ID 000286576000013

View details for PubMedID 21156984