— Network operators control the flow of traffic through their networks by adapting the configuration of the underlying routing protocols. For example, they tune the integer li...
— Despite the increasing number of WiFi-based Long Distance (WiLD) network deployments, there is a lack of understanding of how WiLD networks perform in practice. In this paper, ...
Anmol Sheth, Sergiu Nedevschi, Rabin K. Patra, Son...
—Mobile ad hoc networks (MANETs) are a critical technology in filling the gap where the network infrastructure is insufficient or does not exist at all. The dynamic topology of...
Jangeun Jun, Mihail L. Sichitiu, Hector D. Flores,...
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Temporal difference reinforcement learning algorithms are perfectly suited to autonomous agents because they learn directly from an agent’s experience based on sequential actio...