Name
Abstract | ||
|---|---|---|
Existing deep reinforcement learning (RL) are devoted to research applications on video games, e.g., The Open Racing Car Simulator (TORCS) and Atari games. However, it remains under-explored for vision-based autonomous urban driving navigation (VB-AUDN). VB-AUDN requires a sophisticated agent working safely in structured, changing, and unpredictable environments; otherwise, inappropriate operation... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TNNLS.2021.3109284 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | DocType | Volume |
Task analysis,Trajectory,Computational modeling,Navigation,Automobiles,Reinforcement learning,Predictive models | Journal | 32 |
Issue | ISSN | Citations |
12 | 2162-237X | 0 |
PageRank | References | Authors |
0.34 | 11 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Changxin Huang | 1 | 0 | 0.34 |
| Ronghui Zhang | 2 | 32 | 5.67 |
| Meizi Ouyang | 3 | 0 | 0.34 |
| Pengxu Wei | 4 | 2 | 2.45 |
| Junfan Lin | 5 | 0 | 0.68 |
| Su Jiang | 6 | 30 | 5.17 |
| Liang Lin | 7 | 3007 | 151.07 |