Towards efficient, personalized anesthesia using continuous reinforcement learning for propofol infusion control

By Cristobal Lowery, Aldo A. Faisal. 2013

30 citations recorded by the source corpus.

Subfields: Anesthesiology and Pain Medicine, Bioengineering, Cognitive Neuroscience

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Anesthesiology and Pain Medicine

1. Matthieu Komorowski
2. Luchen Li
3. Aldo A. Faisal

In Bioengineering

1. Matthieu Komorowski
2. Luchen Li
3. Aldo A. Faisal

In Cognitive Neuroscience

1. Matthieu Komorowski
2. Luchen Li
3. Aldo A. Faisal

Citations in the corpus

• The Actor Search Tree Critic (ASTC) for Off-Policy POMDP Learning in Medical Decision Making (2018, methodology): “Automatic treatment optimisation based on reinforcement learning has been explored in simulated patients for HIV therapy [4] using fitted-Q iteration, dynamic insulin dosage in diabetes using model-based reinforcement learning [5], and anaesthesia depth control using actor-critic [6].”