EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models - Colas, Cédric; Hejblum, Boris; Rouillon, Sebastien; Thiébaut, Rodolphe; Oudeyer, Pierre-Yves; Moulin-Frier, Clément; Prague, Mélanie (IDEAS Working Paper Series from RePEc, 2021)
Keywords: Algorithms; Artificial Intelligence; Artificial neural networks; Computer Science; Coronaviruses; Cost function; COVID-19; Decision making; Deep learning; Disease control; Economic models; Epidemics; Epidemiology; Evolutionary algorithms; Fatalities; Life Sciences; Machine Learning; Modelling; Optimization; Policies; Quantitative Methods; Decision Making; Visualization; Cost Functions; Epidemiological Models; Control Strategies; Optimization Algorithms; Reinforcement Learning; Learning Systems; Deep Neural Networks; Epidemiology; Optimization; Learning Algorithms; Deep Learning; Non-Pharmaceutical Interventions; Optimization Problems; Interactive Visualizations; Standard Interface; Evolutionary Algorithms; State-Of-The-Art Machine Learning Methods