Heating, ventilation, and air-conditioning (HVAC) systems account for almost half of the
energy consumption in buildings. By benefiting from advancements in information and …

Sequential decision-making problems with multiple objectives arise naturally in practice and
pose unique challenges for research in decision-theoretic planning and learning, which has …

Research efforts have demonstrated the potentials of improving the performance of Heating,
Ventilation, and Air-Conditioning (HVAC) systems by leveraging personalized thermal …

Many real-world decision problems have multiple objectives. For example, when choosing a
medical treatment plan, we want to maximize the efficacy of the treatment, but also minimize …

Sequential decision problems that involve multiple objectives are prevalent. Consider for
example a driver of a semi-autonomous car who may want to optimize competing objectives …

Finding optimal policies which maximize long term rewards of Markov Decision Processes
requires the use of dynamic programming and backward induction to solve the Bellman …

In recent years, technological advances have substantially extended the capabilities of
automation systems in buildings. Despite the achieved advances, automation systems have …

In recent years, technological advances have substantially extended the capabilities of
building automation. Despite the achieved advances, evidently, automation have not been …

In recent years, physiological features have gained more attention in develo** models of
personal thermal comfort for improved and accurate adaptive operation of Human-In-The …

Home and building automation (HBA) trends toward the Ambient Intelligence paradigm,
which aims to autonomously coordinate and control appliances and subsystems in a given …