RL-ISLAP: A Reinforcement Learning Framework for Industrial-Scale Linear Assignment Problems at Alipay.
Hanjie Li|Yue Ning|Yang Bao|Changsheng Li|Boxiao Chen|Xingyu Lu|Ye Yuan|Guoren Wang
| Anthology ID: | DBLP:conf/cikm/Li00LCLYW24 |
|---|---|
| Volume: | Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024 |
| Year: | 2024 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 4661-4668 |
| URL: | https://doi.org/10.1145/3627673.3680108 |
| DOI: | https://doi.org/10.1145/3627673.3680108 |
| DBLP: | conf/cikm/Li00LCLYW24 |
| BibTeX: |
@inproceedings{li-2024-rlislap,
author = {Hanjie Li and
Yue Ning and
Yang Bao and
Changsheng Li and
Boxiao Chen and
Xingyu Lu and
Ye Yuan and
Guoren Wang},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{RL-ISLAP: A Reinforcement Learning Framework for Industrial-Scale Linear Assignment Problems at Alipay}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {4661--4668},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3680108},
doi = {https://doi.org/10.1145/3627673.3680108}
}