On the Learning Behavior of Adaptive Networks - Part II: Performance Analysis
Graph Chatbot
Chattez avec Graph Search
Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.
AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.
This paper focuses on the control of a team of agents designated either as leaders or followers and exchanging information over a directed communication network. The goal is to drive each follower to a target position that depends on its neighbors. To this ...
In this paper, the multi-agent containment problem is investigated. In particular, we focus our efforts on a continuation of our previous work on leader-follower networks, by imposing a hierarchical structure on the network topology. The main idea is to or ...
This paper proposes deterministic algorithms for decentralized network coding. Decentralized coding allows to locally specify the coding operations at network nodes without knowledge of the overall network topology, and to accommodate future changes in the ...
Although much research has been devoted to designing and experimenting on ad hoc networks of tiny devices, very little has focussed on devising theoretical models to capture the inherent power and limitations of such networks. A notable exception is the po ...
Queueing network models have been widely applied as tools allowing the estimation of performance measures and the behavioural description of systems such as communication, production and software architecture networks. Queueing network models with finite c ...
In this paper we develop a multi-agent simulation model to explore the issue of learning in interorganizational networks. Though interorganizational network researchers generally agree that when firms form into networks they will gain access to new knowled ...
Our research focuses on the behavioral animation of virtual humans who are capable of taking actions by themselves. We deal more specifically with reinforcement learning methodologies, which integrate in an original way the RL agent and the autonomous virt ...
Distributed adaptive algorithms are proposed based on incremental and diffusion strategies. Adaptation rules that are suitable for ring topologies and general topologies are described. Both distributed LMS and RLS implementations are considered in order to ...
Feedback can considerably simplify the task of approaching and achieving the performance limits predicted by information theory. This paper determines some of the potential offered by feedback in a typical sensor network situation that could be termed moni ...
Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2004
Agentcities is a worldwide initiative designed to help realize the commercial and research potential of agent-based applications by constructing an open distributed network of platforms hosting diverse agents and services. The ultimate aim of the Agentciti ...
