Provably efficient safe exploration via primal-dual policy optimization
We study the safe reinforcement learning problem using the constrained Markov decision
processes in which an agent aims to maximize the expected total reward subject to a safety …
processes in which an agent aims to maximize the expected total reward subject to a safety …
A promising approach to optimizing sequential treatment decisions for depression: Markov decision process
F Li, F Jörg, X Li, T Feenstra - Pharmacoeconomics, 2022 - Springer
The most appropriate next step in depression treatment after the initial treatment fails is
unclear. This study explores the suitability of the Markov decision process for optimizing …
unclear. This study explores the suitability of the Markov decision process for optimizing …
Nonstationary bandits with habituation and recovery dynamics
Many settings involve sequential decision making where a set of actions can be chosen at
each time step, each action provides a stochastic reward, and the distribution for the reward …
each time step, each action provides a stochastic reward, and the distribution for the reward …
Interpretable policies and the price of interpretability in hypertension treatment planning
Problem definition: Effective hypertension management is critical to reducing the
consequences of atherosclerotic cardiovascular disease, a leading cause of death in the …
consequences of atherosclerotic cardiovascular disease, a leading cause of death in the …
Optimal cholesterol treatment plans and genetic testing strategies for cardiovascular diseases
Atherosclerotic cardiovascular disease (ASCVD) is among the leading causes of death in
the US. Although research has shown that ASCVD has genetic elements, the understanding …
the US. Although research has shown that ASCVD has genetic elements, the understanding …
Multimodality treatment planning using the Markov decision process: a comprehensive study of applications and challenges
Purpose According to the oncologist, a single medication is insufficient to completely cure
the disease; as a result, most patients undergo treatment from two or more types of therapy …
the disease; as a result, most patients undergo treatment from two or more types of therapy …
Personalizing second-line type 2 diabetes treatment selection: combining network meta-analysis, individualized risk, and patient preferences for unified decision …
SE Choi, SA Berkowitz, JS Yudkin… - Medical Decision …, 2019 - journals.sagepub.com
Background. Personalizing medical treatment often requires practitioners to compare
multiple treatment options, assess a patient's unique risk and benefit from each option, and …
multiple treatment options, assess a patient's unique risk and benefit from each option, and …
An adaptive optimization approach to personalized financial incentives in mobile behavioral weight loss interventions
Obesity is a critical healthcare issue affecting the United States. The least risky treatments
available for obesity are behavioral interventions meant to promote diet and exercise. Often …
available for obesity are behavioral interventions meant to promote diet and exercise. Often …
Dynamic treatment selection and modification for personalised blood pressure therapy using a Markov decision process model: a cost-effectiveness analysis
Objective Personalised medicine seeks to select and modify treatments based on individual
patient characteristics and preferences. We sought to develop an automated strategy to …
patient characteristics and preferences. We sought to develop an automated strategy to …
Examining chronic kidney disease screening frequency among diabetics: a POMDP approach
Forty percent of diabetics will develop chronic kidney disease (CKD) in their lifetimes.
However, as many as 50% of these CKD cases may go undiagnosed. We developed …
However, as many as 50% of these CKD cases may go undiagnosed. We developed …