Hierarchical Imitation Learning via Subgoal Representation Learning for Dynamic Treatment Recommendation.
Lu Wang|Ruiming Tang|Xiaofeng He|Xiuqiang He
| Anthology ID: | DBLP:conf/wsdm/WangTHH22 |
|---|---|
| Volume: | WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022 |
| Year: | 2022 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 1081-1089 |
| URL: | https://doi.org/10.1145/3488560.3498535 |
| DOI: | https://doi.org/10.1145/3488560.3498535 |
| DBLP: | conf/wsdm/WangTHH22 |
| BibTeX: |
@inproceedings{wang-2022-hierarchical,
author = {Lu Wang and
Ruiming Tang and
Xiaofeng He and
Xiuqiang He},
editor = {K. Sel\c{c}uk Candan and
Huan Liu and
Leman Akoglu and
Xin Dong and
Jiliang Tang},
title = {{Hierarchical Imitation Learning via Subgoal Representation Learning for Dynamic Treatment Recommendation}},
booktitle = {{WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022}},
pages = {1081--1089},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3488560.3498535},
doi = {https://doi.org/10.1145/3488560.3498535}
}