Data-driven control of COVID-19 in buildings: a reinforcement-learning approach

• Published in: arXiv.org
• Main Authors: Ashkan Haji Hosseinloo, Nabi, Saleh, Hosoi, Anette, Dahleh, Munther A
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 27.12.2022
• Subjects: Air flow; Algorithms; Antiseptics; Buildings; Coronaviruses; COVID-19; Indoor environments; Machine learning; Optimization; Pathogens; Public health; Shutdowns; Urban environments; Velocity distribution; Viral diseases; Workplaces

In addition to its public health crisis, COVID-19 pandemic has led to the shutdown and closure of workplaces with an estimated total cost of more than $16 trillion. Given the long hours an average person spends in buildings and indoor environments, this research article proposes data-driven control...