Aniruddh Raghu, Matthieu Komorowski, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi. Continuous State-Space Models for Optimal Sepsis Treatment: a Deep Reinforcement Learning Approach. In Finale Doshi-Velez, Jim Fackler, David C. Kale, Rajesh Ranganath, Byron C. Wallace, Jenna Wiens, editors, Proceedings of the Machine Learning for Health Care, MLHC 2017, Boston, Massachusetts, USA, 18-19 August 2017. Volume 68 of Proceedings of Machine Learning Research, pages 147-163, PMLR, 2017. [doi]
@inproceedings{RaghuKCSG17,
title = {Continuous State-Space Models for Optimal Sepsis Treatment: a Deep Reinforcement Learning Approach},
author = {Aniruddh Raghu and Matthieu Komorowski and Leo Anthony Celi and Peter Szolovits and Marzyeh Ghassemi},
year = {2017},
url = {http://proceedings.mlr.press/v68/raghu17a.html},
researchr = {https://researchr.org/publication/RaghuKCSG17},
cites = {0},
citedby = {0},
pages = {147-163},
booktitle = {Proceedings of the Machine Learning for Health Care, MLHC 2017, Boston, Massachusetts, USA, 18-19 August 2017},
editor = {Finale Doshi-Velez and Jim Fackler and David C. Kale and Rajesh Ranganath and Byron C. Wallace and Jenna Wiens},
volume = {68},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}