关键词: 强化学习, 生成式对抗网络, 深度学习, 人工智能

Abstract: Reinforcement learning and generative adversarial networks are hot research topics in the field of artificial intelligence in recent years, and have achieved excellent performance in many fields. The combination of the two fields has begun to appear in the recent future, which makes the interactive learning characteristics of reinforcement learning and the heuristics of generative adversarial networks improve each other. This paper first summarizes the theory of reinforcement learning and generative adversarial networks. Secondly, this paper elaborates on the latest research directions of using reinforcement learning to improve generative adversarial networks, and using generative adversarial networks to improve reinforcement learning. Finally, this paper summarizes the successful application in the field of natural language and machine control, and gives the future development trend.

Key words: reinforcement learning, generative adversarial networks, deep learning, artificial intelligence