RISE: A Velocity Control Framework with Minimal Impacts based on Reinforcement Learning.
Yuyang Xia|Xu Chen|Sophia Ananiadou|Shuncheng Liu|Xu Chen|Sophia Ananiadou|Zhi Xu|Kai Zheng|Han Su
| Anthology ID: | DBLP:conf/cikm/Xia00X0S22 |
|---|---|
| Volume: | Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022 |
| Year: | 2022 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 2210-2219 |
| URL: | https://doi.org/10.1145/3511808.3557435 |
| DOI: | https://doi.org/10.1145/3511808.3557435 |
| DBLP: | conf/cikm/Xia00X0S22 |
| BibTeX: |
@inproceedings{xia-2022-rise,
author = {Yuyang Xia and
Xu Chen and
Sophia Ananiadou and
Shuncheng Liu and
Xu Chen and
Sophia Ananiadou and
Zhi Xu and
Kai Zheng and
Han Su},
editor = {Mohammad Al Hasan and
Li Xiong},
title = {{RISE: A Velocity Control Framework with Minimal Impacts based on Reinforcement Learning}},
booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}},
pages = {2210--2219},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3511808.3557435},
doi = {https://doi.org/10.1145/3511808.3557435}
}