Bayesian optimization (BO) is an efficient method for solving complex optimization problems,
including those in chemical research, where consequently it is gaining significant popularity …

We study a class of constrained reinforcement learning (RL) problems in which multiple
constraint specifications are not identified before training. It is challenging to identify …

Maternal mortality remains a significant global public health challenge. One promising
approach to reducing maternal deaths occurring during facility-based childbirth is through …

Restless Multi-Armed Bandits (RMABs) offer a powerful framework for solving resource
constrained maximization problems. However, the formulation can be inappropriate for …

We define a new subclass of the restless multi-armed bandit framework, that we name
Adherence Bandits, designed to capture the dynamics prevalent in many public health …

L'obiettivo dell'elaborato è esaminare le complesse relazioni che intercorrono tra il budget
delle vendite e il Customer Relationship Management (CRM), due elementi chiave che …