TY - EJOU AU - Fang, Wei AU - Pang, Lin AU - Yi, Weinan TI - Survey on the Application of Deep Reinforcement Learning in Image Processing T2 - Journal on Artificial Intelligence PY - 2020 VL - 2 IS - 1 SN - 2579-003X AB - 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. KW - Reinforcement learning KW - image processing DO - 10.32604/jai.2020.09789