Adapting Reinforcement Learning Treatment Policies Using Limited Data to Personalize Critical Care
- Matt Baucum ,
Corresponding Author
Matt Baucum
[email protected]https://orcid.org/0000-0002-2699-167X
Department of Business Analytics, Information Systems & Supply Chain, Florida State University, Tallahassee, Florida 32306;
- Anahita Khojandi ,
Anahita Khojandi
[email protected]https://orcid.org/0000-0001-6818-2048
Department of Industrial and Systems Engineering, University of Tennessee, Knoxville, Tennessee 37996;
- Rama Vasudevan ,
Rama Vasudevan
[email protected]https://orcid.org/0000-0003-4692-8579
Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831;
- Robert Davis
Robert Davis
[email protected]University of Tennessee Health Science Center, Memphis, Tennessee 38163
Corresponding Author
Matt Baucum
[email protected]https://orcid.org/0000-0002-2699-167X
Department of Business Analytics, Information Systems & Supply Chain, Florida State University, Tallahassee, Florida 32306;
Anahita Khojandi
[email protected]https://orcid.org/0000-0001-6818-2048
Department of Industrial and Systems Engineering, University of Tennessee, Knoxville, Tennessee 37996;
Rama Vasudevan
[email protected]https://orcid.org/0000-0003-4692-8579
Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831;
Robert Davis
[email protected]University of Tennessee Health Science Center, Memphis, Tennessee 38163

