We consider the problem of designing distributed mechanisms for joint congestion control and resource allocation in spatial-reuse TDMA wireless networks. The design problem is pos...
We model reinforcement learning as the problem of learning to control a Partially Observable Markov Decision Process ( ¢¡¤£¦¥§ ), and focus on gradient ascent approache...
The need for network stability and reliability has led to the growth of autonomic networks [2] that can provide more stable and more reliable communications via on-line measuremen...
—Increasing demand to transmit real-time data over packet-switched networks calls for quality-of-service support from the underlying network. Deadline-based networks were develop...
Abstract— We consider a convex unconstrained optimization problem that arises in a network of agents whose goal is to cooperatively optimize the sum of the individual agent objec...
Angelia Nedic, Alexander Olshevsky, Asuman E. Ozda...