Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
Vehicular Delay-Tolerant Networks (VDTNs) are an application of the Delay-Tolerant Network (DTN) concept, where the movement of vehicles and their message relaying service is used ...
Vasco Nuno da Gama de Jesus Soares, Joel Jos&eacut...
Abstract—In order to achieve data delivery in Delay Tolerant Networks (DTN), researchers have proposed the use of store-carryand-forward protocols: a node there may store a messa...
Amir Krifa, Chadi Barakat, Thrasyvoulos Spyropoulo...
We describe two major developments in the General Network Simulation Integration System (Genesis): the support for BGP protocol in large network simulations and distribution of th...
This paper presents an algorithm for robust optimal control of regular languages under specified uncertainty bounds on the event cost parameters of the language measure that has b...