Edge caching is emerging as the most promising solution to reduce the co...
In this paper, we design an information-based multi-robot source seeking...
We consider large scale distributed optimization over a set of edge devi...
Inertial measurement units are widely used in different fields to estima...
This paper presents a deep reinforcement learning (DRL) algorithm for
or...
With large-scale integration of renewable generation and ubiquitous
dist...
We study a class of cooperative multi-agent optimization problems, where...
This paper considers a distributed reinforcement learning problem for
de...