Optimal Return-to-Go Guided Decision Transformer for Auto-Bidding in Advertisement.
Hao Jiang|Yongxiang Tang|Yanxiang Zeng|Pengjia Yuan|Yanhua Cheng|Teng Sha|Xialong Liu|Peng Jiang
| Anthology ID: | DBLP:conf/www/JiangTZYCSLJ25 |
|---|---|
| Volume: | Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025 |
| Year: | 2025 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 1033-1037 |
| URL: | https://doi.org/10.1145/3701716.3715564 |
| DOI: | https://doi.org/10.1145/3701716.3715564 |
| DBLP: | conf/www/JiangTZYCSLJ25 |
| BibTeX: |
@inproceedings{jiang-2025-optimal,
author = {Hao Jiang and
Yongxiang Tang and
Yanxiang Zeng and
Pengjia Yuan and
Yanhua Cheng and
Teng Sha and
Xialong Liu and
Peng Jiang},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{Optimal Return-to-Go Guided Decision Transformer for Auto-Bidding in Advertisement}},
booktitle = {{Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025}},
pages = {1033--1037},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3701716.3715564},
doi = {https://doi.org/10.1145/3701716.3715564}
}