Trajectory-wise Iterative Reinforcement Learning Framework for Auto-bidding.
Haoming Li|Yusen Huo|Shuai Dou|Zhenzhe Zheng|Zhilin Zhang|Chuan Yu|Jian Xu|Fan Wu
| Anthology ID: | DBLP:conf/www/0017HDZZYXW24 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 4193-4203 |
| URL: | https://doi.org/10.1145/3589334.3645534 |
| DOI: | https://doi.org/10.1145/3589334.3645534 |
| DBLP: | conf/www/0017HDZZYXW24 |
| BibTeX: |
@inproceedings{li-2024-trajectorywise,
author = {Haoming Li and
Yusen Huo and
Shuai Dou and
Zhenzhe Zheng and
Zhilin Zhang and
Chuan Yu and
Jian Xu and
Fan Wu},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Ravi Kumar and
Hady Wirawan Lauw and
Roy Ka-Wei Lee},
title = {{Trajectory-wise Iterative Reinforcement Learning Framework for Auto-bidding}},
booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}},
pages = {4193--4203},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589334.3645534},
doi = {https://doi.org/10.1145/3589334.3645534}
}