In this paper, we consider a type of image quality assessment (IQA) as task-specific measurement, which can be used to select images that are more amenable given target task, such classification or segmentation. We propose train simultaneously two neural networks for selection and task using reinforcement learning. A controller network learns an policy by maximising accumulated reward based on ...