Towards Off-policy Evaluation as a Prerequisite for Real-world Reinforcement Learning in Building Control
Type
Publication
The 1st International Workshop on Reinforcement Learning for Energy Management in Buildings Cities (ACM RLEM'20)
Bingqing Chen
Machine Learning Research Scientist
My primary research interest is in making reinforcement learning agents safe and sample-efficient to be viable for real-world applications. I work on autonomous energy systems to 1) improve energy efficiency, and 2) facilitate renewable energy integration.
Mario Bergés
Professor of Civil and Environmental Engineering
My research interests vary, but generally gravitate towards the development of technologies to make our built enviornment and the communities in them more autonomous and efficient. Lately I am interested in developing responsible autonomous solutions for infrastructure systems.