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AI
2000
Springer
15 years 4 months ago
Stochastic dynamic programming with factored representations
Markov decisionprocesses(MDPs) haveproven to be popular models for decision-theoretic planning, but standard dynamic programming algorithms for solving MDPs rely on explicit, stat...
Craig Boutilier, Richard Dearden, Moisés Go...
EWSN
2008
Springer
16 years 3 months ago
Tracking Dynamic Boundary Fronts Using Range Sensors
Abstract. We examine the problem of tracking dynamic boundaries occurring in natural phenomena using range sensors. Two main challenges of the boundary tracking problem are energy-...
Subhasri Duttagupta, Krithi Ramamritham, Purushott...
GLOBECOM
2007
IEEE
15 years 10 months ago
Non-Cooperative Dynamic Spectrum Access for CDMA Networks
— Recent studies indicate the presence of a significant amount of idle licensed spectrum, in different time periods and geographic locations. Prompted by the latest regulatory ch...
George Alyfantis, Giannis F. Marias, Stathes Hadji...
TEC
2010
171views more  TEC 2010»
14 years 11 months ago
A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments
In the real world, many optimization problems are dynamic. This requires an optimization algorithm to not only find the global optimal solution under a specific environment but als...
Shengxiang Yang, Changhe Li
ICML
2006
IEEE
16 years 5 months ago
Predictive linear-Gaussian models of controlled stochastic dynamical systems
We introduce the controlled predictive linearGaussian model (cPLG), a model that uses predictive state to model discrete-time dynamical systems with real-valued observations and v...
Matthew R. Rudary, Satinder P. Singh