原文传递
Constructing an Autonomous Decision Approach in a Real AIS Environment Using Deep Reinforcement Learning
| 题名： | Constructing an Autonomous Decision Approach in a Real AIS Environment Using Deep Reinforcement Learning |
| 正文语种： | 英文 |
| 作者： | Ruolan ZHANG; Masao FURUSHO |
| 作者单位： | 神戸大学大学院海事科学研究科; 神戸大学大学院海事科学研究科 |
| 出版日期： | 2020.01 |
| 出版年： | 2020 |
| 期刊名称： | 日本航海学会誌 |
| 期： | No.211 |
| 页码： | 37-38 |
相关文献
- Online longitudinal trajectory planning for connected and autonomous vehicles in mixed traffic flow with deep reinforcement learning approach
- Multiagent Soft Actor-Critic for Traffic Light Timing
- Random Prior Network for Autonomous Driving Decision-Making Based on Reinforcement Learning
- Where is supply chain software headed?
- Hierarchical Driving Strategy for Connected and Autonomous Vehicles Making a Protected Left Turn at Signalized Intersections
检索历史
应用推荐
