A survey of the potentials of model-based reinforcement learning algorithms in medicine

Abstract

Contemporary reinforcement learning research teams have made remarkable progress in games and comparatively less in the medical field. Most recent implementations of reinforcement learning are focused on model-free learning algorithms as they are relatively easier to implement. This paper seeks to present model-based reinforcement learning notions, and articulate how model-based learning can be efficient in medical image processing in juxtaposition to model-free learning.