Luca Ferrarini

Meta-Reinforcement Learning for building temperature control: Design and experimental validation

This paper presents the design and experimental validation of a Meta-Reinforcement Learning approach for temperature control in a real building with not perfectly known thermal dynamics. The proposed architecture consists of three main modules: an encoder, a controller, and an ad...