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ATAL
2003
Springer
13 years 10 months ago
Minimizing communication cost in a distributed Bayesian network using a decentralized MDP
In complex distributed applications, a problem is often decomposed into a set of subproblems that are distributed to multiple agents. We formulate this class of problems with a tw...
Jiaying Shen, Victor R. Lesser, Norman Carver
CDC
2009
IEEE
142views Control Systems» more  CDC 2009»
13 years 2 months ago
Asynchronous distributed optimization with minimal communication and connectivity preservation
Abstract-- We consider problems where multiple agents cooperate to control their individual state so as to optimize a common objective while communicating with each other to exchan...
Minyi Zhong, Christos G. Cassandras
JAIR
2008
145views more  JAIR 2008»
13 years 5 months ago
Communication-Based Decomposition Mechanisms for Decentralized MDPs
Multi-agent planning in stochastic environments can be framed formally as a decentralized Markov decision problem. Many real-life distributed problems that arise in manufacturing,...
Claudia V. Goldman, Shlomo Zilberstein
TSP
2008
149views more  TSP 2008»
13 years 4 months ago
Decentralized Quantized Kalman Filtering With Scalable Communication Cost
Estimation and tracking of generally nonstationary Markov processes is of paramount importance for applications such as localization and navigation. In this context, ad hoc wireles...
Eric J. Msechu, Stergios I. Roumeliotis, Alejandro...
IPSN
2005
Springer
13 years 10 months ago
Adaptive statistical sampling methods for decentralized estimation and detection of localized phenomena
— Sensor networks (SNETs) for monitoring spatial phenomena has emerged as an area of significant practical interest. We focus on the important problem of detection of distribute...
Erhan Baki Ermis, Venkatesh Saligrama