This paper presents the first framework (up to the authors' knowledge) to address time-varying objectives in finite-horizon Deep Reinforcement Learning (DeepRL), based on a switching control solution developed on the ground of Bellman's principle of optimality. By augmenting the state space of the...
01a Articolo in rivista
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Human action recognition is one of the most pressing questions in societal emergencies of any kind. Technology is helping to solve such problems at the cost of stealing human privacy. Several approaches have considered the relevance of privacy in the pervasive process of observing people. New...
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Modeling the arrival process to an Emergency Department (ED) is the first step of all studies dealing with the patient flow within the ED. Many of them focus on the increasing phenomenon of ED overcrowding, which is afflicting hospitals all over the world. Since Discrete Event Simulation models are...
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Urged by the outbreak of the COVID-19 in Italy, this study aims at helping to tackle the spread of the disease by resorting to operations research techniques. In particular, we propose a mathematical program to model the problem of establishing how many diagnostic tests the Italian regions must...
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We analyze a Nash equilibrium problem arising when trades from different accounts are pooled for execution. We introduce a new general multi-portfolio model and state sufficient conditions for the monotonicity of the underlying Nash equilibrium problem. Monotonicity makes it possible to treat the...
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In this paper, we propose the adoption of MacIntyre’s notion of practice to clarify the concept of the “good” evaluation of “research practices”. We argue that research is a form of social practice that is oriented towards the production of goods both internal and external to social practice itself...
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In this paper we show the usefulness of recent advanced nonparametric efficiency techniques to model the performance of universities in the presence of observed and unobserved heterogeneity. Using directional distances for benchmarking purposes, we identify a latent heterogeneity factor related to...