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} }