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} }