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} }