Learning to Collaborate: Multi-Scenario Ranking via Multi-Agent Reinforcement Learning.
Jun Feng|Heng Li|Minlie Huang|Shichen Liu|Wenwu Ou|Zhirong Wang|Xiaoyan Zhu
| Anthology ID: | DBLP:conf/www/FengLHLOWZ18 |
|---|---|
| Volume: | Proceedings of the 2018 World Wide Web Conference on World Wide Web, WWW 2018, Lyon, France, April 23-27, 2018 |
| Year: | 2018 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 1939-1948 |
| URL: | https://doi.org/10.1145/3178876.3186165 |
| DOI: | https://doi.org/10.1145/3178876.3186165 |
| DBLP: | conf/www/FengLHLOWZ18 |
| BibTeX: |
@inproceedings{feng-2018-learning,
author = {Jun Feng and
Heng Li and
Minlie Huang and
Shichen Liu and
Wenwu Ou and
Zhirong Wang and
Xiaoyan Zhu},
editor = {Pierre-Antoine Champin and
Fabien Gandon and
Mounia Lalmas-Roelleke and
Panagiotis G. Ipeirotis},
title = {{Learning to Collaborate: Multi-Scenario Ranking via Multi-Agent Reinforcement Learning}},
booktitle = {{Proceedings of the 2018 World Wide Web Conference on World Wide Web, WWW 2018, Lyon, France, April 23-27, 2018}},
pages = {1939--1948},
publisher = {ACM},
year = {2018},
url = {https://doi.org/10.1145/3178876.3186165},
doi = {https://doi.org/10.1145/3178876.3186165}
}