@Article{jai.2020.09789,
AUTHOR = {Wei Fang, Lin Pang, Weinan Yi},
TITLE = {Survey on the Application of Deep Reinforcement Learning in  Image Processing},
JOURNAL = {Journal on Artificial Intelligence},
VOLUME = {2},
YEAR = {2020},
NUMBER = {1},
PAGES = {39--58},
URL = {http://www.techscience.com/jai/v2n1/39514},
ISSN = {2579-003X},
ABSTRACT = {In recent years, with the rapid development of human society, more and more 
complex tasks have emerged that require deep learning to automatically extract abstract 
feature representations from a large amount of data, and use reinforcement learning to learn 
the best strategy to complete the task. Through the combination of deep learning and 
reinforcement learning, end-to-end input and output can be achieved, and substantial 
breakthroughs have been made in many planning and decision-making systems with 
infinite states, such as games, in particular, AlphaGo, robotics, natural language processing, 
dialogue systems, machine translation, and computer vision. In this paper we have 
summarized the main techniques of deep reinforcement learning and its applications in 
image processing.},
DOI = {10.32604/jai.2020.09789}
}