Review of Deep Reinforcement Learning


연구 분야: Artificial Intelligence



학회: 2022 IEEE 5th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)


초록

With the continuous development of information technology, machine intelligence has become a hot research issue. Deep learning can effectively extract the characteristic information in the environment, reinforcement learning can propose effective behavior strategies, and the integration of the two to form deep reinforcement learning is an inevitable trend in the field of artificial intelligence research, with the development of a variety of deep reinforcement learning algorithms. Focusing on the development of deep reinforcement learning, this paper summarizes the classification, characteristics and applications of common algorithms for deep reinforcement learning.


Author Profile
Keyuan Yu

Information Fusion Institute Naval aeronautical university Yantai China

China
Author Profile
Kun Jin

Aviation Basic Institute Naval aeronautical university Yantai China

China
Author Profile
Xiangyang Deng

Information Fusion Institute Naval aeronautical university Yantai China

China

📄 논문 정보

발행 연도 2022년
인용수 14
출판 국가 China
사이트 IEEE
좋아요 수 0

연관 논문 목록 (534건)