Compositional Q-learning for electrolyte repletion with imbalanced patient sub-populations

Aishwarya Mandyam, Andrew Jones, Jiayu Yao, Krzysztof Laudanski, Barbara E. Engelhardt. Compositional Q-learning for electrolyte repletion with imbalanced patient sub-populations. In Stefan Hegselmann, Antonio Parziale, Divya Shanmugam, Shengpu Tang, Mercy Nyamewaa Asiedu, Serina Chang, Tom Hartvigsen, Harvineet Singh, editors, Machine Learning for Health, ML4H@NeurIPS 2023, 10 December 2023, New Orleans, Louisiana, USA. Volume 225 of Proceedings of Machine Learning Research, pages 323-339, PMLR, 2023. [doi]

@inproceedings{MandyamJYLE23,
  title = {Compositional Q-learning for electrolyte repletion with imbalanced patient sub-populations},
  author = {Aishwarya Mandyam and Andrew Jones and Jiayu Yao and Krzysztof Laudanski and Barbara E. Engelhardt},
  year = {2023},
  url = {https://proceedings.mlr.press/v225/mandyam23a.html},
  researchr = {https://researchr.org/publication/MandyamJYLE23},
  cites = {0},
  citedby = {0},
  pages = {323-339},
  booktitle = {Machine Learning for Health, ML4H@NeurIPS 2023, 10 December 2023, New Orleans, Louisiana, USA},
  editor = {Stefan Hegselmann and Antonio Parziale and Divya Shanmugam and Shengpu Tang and Mercy Nyamewaa Asiedu and Serina Chang and Tom Hartvigsen and Harvineet Singh},
  volume = {225},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}