Reward Balancing Revisited: Enhancing Offline Reinforcement Learning for Recommender Systems.
Wenzheng Shu|Yanxiang Zeng|Yongxiang Tang|Teng Sha|Ning Luo|Yanhua Cheng|Xialong Liu|Fan Zhou|Peng Jiang
| Anthology ID: | DBLP:conf/www/ShuZTSLCL0J25 |
|---|---|
| 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: | 1308-1311 |
| URL: | https://doi.org/10.1145/3701716.3715547 |
| DOI: | https://doi.org/10.1145/3701716.3715547 |
| DBLP: | conf/www/ShuZTSLCL0J25 |
| BibTeX: |
@inproceedings{shu-2025-reward,
author = {Wenzheng Shu and
Yanxiang Zeng and
Yongxiang Tang and
Teng Sha and
Ning Luo and
Yanhua Cheng and
Xialong Liu and
Fan Zhou and
Peng Jiang},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{Reward Balancing Revisited: Enhancing Offline Reinforcement Learning for Recommender Systems}},
booktitle = {{Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025}},
pages = {1308--1311},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3701716.3715547},
doi = {https://doi.org/10.1145/3701716.3715547}
}