ReLiable: Offline Reinforcement Learning for Tactical Strategies in Professional Basketball Games.
Xiusi Chen|Jyun-Yu Jiang|Kun Jin|Yichao Zhou|Mingyan Liu|P. Jeffrey Brantingham|Wei Wang
| Anthology ID: | DBLP:conf/cikm/ChenJJZLB022 |
|---|---|
| Volume: | Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022 |
| Year: | 2022 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 3023-3032 |
| URL: | https://doi.org/10.1145/3511808.3557105 |
| DOI: | https://doi.org/10.1145/3511808.3557105 |
| DBLP: | conf/cikm/ChenJJZLB022 |
| BibTeX: |
@inproceedings{chen-2022-reliable,
author = {Xiusi Chen and
Jyun-Yu Jiang and
Kun Jin and
Yichao Zhou and
Mingyan Liu and
P. Jeffrey Brantingham and
Wei Wang},
editor = {Mohammad Al Hasan and
Li Xiong},
title = {{ReLiable: Offline Reinforcement Learning for Tactical Strategies in Professional Basketball Games}},
booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}},
pages = {3023--3032},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3511808.3557105},
doi = {https://doi.org/10.1145/3511808.3557105}
}