CISBAT 2017 Best Paper - José Ramón Vazquez-Canteli

October 11, 2017


 Oct. 11, 2017

Graduate student José Ramón Vazquez-Canteli recently received a Best Paper Award at the CISBAT 2017 International Conference for his research on reinforcement learning for buildings. 

José's paper,“Balancing comfort and energy consumption of a heat pump using batch reinforcement learning with fitted Q-iteration," was one of two papers awarded at the conference.

CISBAT 2017 is an interdisciplinary biannual conference in the field of sustainability in the built environment and was organized in academic partnership with Cambridge University, MIT and the Swiss Chapter of the International Building Simulation Association IBPSA.

Since its inception in 1991, CISBAT offers a dynamic international platform for scientific exchange in fields ranging from nanostructured materials for renewable energy applications to urban energy systems.

CISBAT 2017 took place at Ecole Polytechnique Federale de Lausanne (EPFL) from Sept. 6-8 and addressed "Future Buildings and Districts - Energy Efficiency from Nano to Urban Scale."

José is a PhD student and member of Assistant Professor Zoltan Nagy’s Intelligent Environments Laboratory research team.