Despite the prevalence of wireless connectivity in urban areas around th...
In this paper, we study the problem of distributed estimation with an
em...
Multi-task learning aims to acquire a set of functions, either regressor...
This work presents a distributed estimation algorithm that efficiently u...
We present the first distributed optimization algorithm with lazy
commun...
Though learning has become a core technology of modern information
proce...
Safety is a critical feature of controller design for physical systems. ...
Constrained reinforcement learning involves multiple rewards that must
i...
Multi-agent systems play an important role in modern robotics. Due to th...
In this paper we consider a problem known as multi-task learning, consis...
This paper is concerned with the study of constrained statistical learni...
In this work, we introduce Mobile Wireless Infrastructure on Demand: a
f...
In this paper, we study the learning of safe policies in the setting of
...
Autonomous agents must often deal with conflicting requirements, such as...
In this paper, we study wireless networked control systems in which the
...