Buildings account for about 40% of the global energy consumption. Renewable energy
resources are one possibility to mitigate the dependence of residential buildings on the …

The effective operation of time-critical Internet of things (IoT) applications requires real-time
reporting of fresh status information of underlying physical processes. In this paper, a real …

In spite of bounds on space, time, and data, people are able to make good decisions in
complex scenarios. What enables us to do so? And what might equip artificial systems to do …

This article considers a wireless networked control system (WNCS) consisting of a dynamic
system to be controlled (ie, a plant), a sensor, an actuator, and a remote controller for …

We formalize the problem of selecting the optimal set of options for planning as that of
computing the smallest set of options so that planning converges in less than a given …

This paper studies a wireless-powered sensor network, where a sensor harvests energy
from a dedicated radio-frequency (RF) energy source and transmits information to an …

We establish geometric and topological properties of the space of value functions in finite
state-action Markov decision processes. Our main contribution is the characterization of the …

Context: Existing software workbenches allow for the deployment of cloud applications
across a variety of Infrastructure-as-a-Service (IaaS) providers. The expected workload …

Imitation learning targets deriving a mapping from states to actions, aka policy, from expert
demonstrations. Existing methods for imitation learning typically require any actions in the …

Information collected by monitoring systems can provide a significant economic benefit to
the operation and maintenance of infrastructure components only under specific conditions …