Search Results for author: Marco Piangerelli

Found 2 papers, 1 papers with code

REPTILE: A Proactive Real-Time Deep Reinforcement Learning Self-adaptive Framework

no code implementations28 Mar 2022 Flavio Corradini, Miichele Loreti, Marco Piangerelli, Giacomo Rocchetti

In this work a general framework is proposed to support the development of software systems that are able to adapt their behaviour according to the operating environment changes.

reinforcement-learning Reinforcement Learning (RL)

The impact of undetected cases on tracking epidemics: the case of COVID-19

1 code implementation13 May 2020 Andrea De Simone, Marco Piangerelli

One of the key indicators used in tracking the evolution of an infectious disease isthe reproduction number.

Populations and Evolution Quantitative Methods Applications G.3; I.6

Cannot find the paper you are looking for? You can Submit a new open access paper.