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} }