Reinforcement learning for intensive care medicine: actionable clinical insights from novel approaches to reward shaping and off-policy model evaluation
Reinforcement learning (RL) holds great promise for intensive care medicine given the abundant availability of data and frequent sequential decision-making. But despite the emergence of promising algorithms, R...
Source: Intensive Care Medicine Experimental - Category: Surgery Authors: Luca F. Roggeveen, Ali el Hassouni, Harm-Jan de Grooth, Armand R. J. Girbes, Mark Hoogendoorn and Paul W. G. Elbers Tags: Research Articles Source Type: research