24 citations · 45 across the 21 of their papers we have counts for
4 papers · 1 filter
Supervisory Output Prediction for Bilinear Systems by Reinforcement Learning
Georgios C. Chasparis, Thomas Natschlaeger
Online output prediction is an indispensable part of any model predictive control implementation, especially when simplifications of the underlying physical model have been conside…
Generalized Online Transfer Learning for Climate Control in Residential Buildings
Thomas Grubinger, Georgios Chasparis, Thomas Natschlaeger
This paper presents an online transfer learning framework for improving temperature predictions in residential buildings. In transfer learning, prediction models trained under a se…
Regression Models for Output Prediction of Thermal Dynamics in Buildings
Georgios C. Chasparis, Thomas Natschlaeger
Standard (black-box) regression models may not necessarily suffice for accurate identification and prediction of thermal dynamics in buildings. This is particularly apparent when e…
Efficient Dynamic Pinning of Parallelized Applications by Distributed Reinforcement Learning
Georgios C. Chasparis, Michael Rossbory
This paper introduces a resource allocation framework specifically tailored for addressing the problem of dynamic placement (or pinning) of parallelized applications to processing…