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

no code implementations • 27 Dec 2022 • Ashkan Haji Hosseinloo, Saleh Nabi, Anette Hosoi, Munther A. Dahleh

A general control framework is put forward for designing an optimal velocity field and proximal policy optimization, a reinforcement learning algorithm is employed to solve the control problem in a data-driven fashion.

reinforcement-learning Reinforcement Learning (RL)

Data-driven control of micro-climate in buildings: an event-triggered reinforcement learning approach

no code implementations • 28 Jan 2020 • Ashkan Haji Hosseinloo, Alexander Ryzhov, Aldo Bischi, Henni Ouerdane, Konstantin Turitsyn, Munther A. Dahleh

Future of the smart buildings lies in using sensory data for adaptive decision making and control that is currently gloomed by the key challenge of learning a good control policy in a short period of time in an online and continuing fashion.

Decision Making Reinforcement Learning (RL)