Advantage-Conditioned Flow Policy for Offline Reinforcement Learning in Recommendation.
Carsten Eickhoff|Xiaocong Chen|Carsten Eickhoff|Xiaocong Chen|Siyu Wang|Lina Yao|Xiaojie Yuan|Lina Yao|Xiaojie Yuan
| Anthology ID: | DBLP:conf/sigir/ChenWY26 |
|---|---|
| Volume: | Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026 |
| Year: | 2026 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 179-189 |
| URL: | https://doi.org/10.1145/3805712.3809626 |
| DOI: | https://doi.org/10.1145/3805712.3809626 |
| DBLP: | conf/sigir/ChenWY26 |
| BibTeX: |
@inproceedings{eickhoff-2026-advantageconditioned,
author = {Carsten Eickhoff and
Xiaocong Chen and
Carsten Eickhoff and
Xiaocong Chen and
Siyu Wang and
Lina Yao and
Xiaojie Yuan and
Lina Yao and
Xiaojie Yuan},
editor = {Hannah Bast and
Alistair Moffat and
Falk Scholer and
Marc Najork and
Min Zhang and
Hannah Bast and
Marc Najork and
Min Zhang},
title = {{Advantage-Conditioned Flow Policy for Offline Reinforcement Learning in Recommendation}},
booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}},
pages = {179--189},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3805712.3809626},
doi = {https://doi.org/10.1145/3805712.3809626}
}