Name
Abstract | ||
|---|---|---|
In this paper, we study how to learn a harmonious deep reinforcement learning (DRL) based lane-changing strategy for autonomous vehicles without Vehicle-to-Everything (V2X) communication support. The basic framework of this paper can be viewed as a multi-agent reinforcement learning in which different agents will exchange their strategies after each round of learning to reach a zero-sum game state... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TITS.2020.3047129 | IEEE Transactions on Intelligent Transportation Systems |
Keywords | DocType | Volume |
Reinforcement learning,Vehicle-to-everything,Space vehicles,Sensors,Roads,Mathematical model,Delays | Journal | 23 |
Issue | ISSN | Citations |
5 | 1524-9050 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guan Wang | 1 | 496 | 35.22 |
| Jianming Hu | 2 | 162 | 21.14 |
| Li Zhiheng | 3 | 77 | 13.27 |
| Li Li | 4 | 581 | 109.68 |