COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty.
Lu Wang|Mayukh Das|Fangkai Yang|Chao Du|Bo Qiao|Hang Dong|Chetan Bansal|Si Qin|Saravan Rajmohan|Qingwei Lin|Dongmei Zhang|Qi Zhang
| Anthology ID: | DBLP:conf/cikm/WangDYD00BQRL0Z24 |
|---|---|
| Volume: | Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024 |
| Year: | 2024 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 4939-4947 |
| URL: | https://doi.org/10.1145/3627673.3680060 |
| DOI: | https://doi.org/10.1145/3627673.3680060 |
| DBLP: | conf/cikm/WangDYD00BQRL0Z24 |
| BibTeX: |
@inproceedings{wang-2024-coin,
author = {Lu Wang and
Mayukh Das and
Fangkai Yang and
Chao Du and
Bo Qiao and
Hang Dong and
Chetan Bansal and
Si Qin and
Saravan Rajmohan and
Qingwei Lin and
Dongmei Zhang and
Qi Zhang},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {4939--4947},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3680060},
doi = {https://doi.org/10.1145/3627673.3680060}
}