Tracking control of intelligent ship based on deep reinforcement learning
Objectives The tracking control of intelligent ships often faces the problem of low controller stability in complex control environments and manual algorithmic computing. In order to achieve precise tracking control, this paper proposes a controller based on deep reinforcement learning (DRL).Methods...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Editorial Office of Chinese Journal of Ship Research
2021-02-01
|
| Series: | Zhongguo Jianchuan Yanjiu |
| Subjects: | |
| Online Access: | http://www.ship-research.com/cn/article/doi/10.19693/j.issn.1673-3185.01940 |