In this paper we consider the two-armed bandit problem, which often naturally appears per
se or as a subproblem in some multi-armed generalizations, and serves as a starting point …

We consider the dynamic and stochastic resource-constrained multi-project scheduling
problem which allows for the random arrival of projects and stochastic task durations …

Cancer is one of the major diseases that seriously threaten the human life. Increasing
interest in cancer treatment strategies for chemotherapy treatment planning and optimal …

The design of sequential experiments and, in particular, randomised controlled trials
involves a trade-off between operational characteristics such as statistical power, estimation …

Problem definition: Clinical trials are crucial to new drug development. This study
investigates optimal patient enrollment in clinical trials with interim analyses, which are …

Type 2 diabetes is a chronic disease that affects millions of Americans and puts a significant
burden on the healthcare system. The medical community sees screening patients to identify …

We consider finite-stage Markov Decision Processes (MDPs) under incomplete information,
where the decision-maker only knows that the true transition probability and reward matrices …

Since 2002, with the SARS outbreak, infectious diseases, including the ongoing COVID-19
pandemic, have continued to be a major global public health threat. It is critical to develop …

Applications of reinforcement learning (RL) for supporting, managing and improving
decision-making are becoming increasingly popular in a variety of medicine and healthcare …

The goal of the Project Management is to organise project schedules to complete projects
before their completion dates, specified in their contract. When a project is beyond its …