State Encoders in Reinforcement Learning for Recommendation: A Reproducibility Study.
Jin Huang|Harrie Oosterhuis|Bunyamin Cetinkaya|Thijs Rood|Maarten de Rijke
| Anthology ID: | DBLP:conf/sigir/HuangOCRR22 |
|---|---|
| Volume: | SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022 |
| Year: | 2022 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 2738-2748 |
| URL: | https://doi.org/10.1145/3477495.3531716 |
| DOI: | https://doi.org/10.1145/3477495.3531716 |
| DBLP: | conf/sigir/HuangOCRR22 |
| BibTeX: |
@inproceedings{huang-2022-state,
author = {Jin Huang and
Harrie Oosterhuis and
Bunyamin Cetinkaya and
Thijs Rood and
Maarten de Rijke},
editor = {Enrique Amig\'{o} and
Pablo Castells and
Julio Gonzalo and
Ben Carterette and
J. Shane Culpepper and
Gabriella Kazai},
title = {{State Encoders in Reinforcement Learning for Recommendation: A Reproducibility Study}},
booktitle = {{SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022}},
pages = {2738--2748},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3477495.3531716},
doi = {https://doi.org/10.1145/3477495.3531716}
}