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» Model Minimization in Markov Decision Processes
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TSP
2008
149views more  TSP 2008»
13 years 6 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...
RSS
2007
176views Robotics» more  RSS 2007»
13 years 8 months ago
Active Policy Learning for Robot Planning and Exploration under Uncertainty
Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...
Ruben Martinez-Cantin, Nando de Freitas, Arnaud Do...
GRID
2007
Springer
14 years 29 days ago
Resource usage policy expression and enforcement in grid computing
-- To date, not enough attention has been paid to issues surrounding the description and enforcement of policies for controlling Grid resources. These policies define the permitted...
Jun Feng, Glenn S. Wasson, Marty Humphrey
COCOON
2005
Springer
14 years 10 days ago
Server Allocation Algorithms for Tiered Systems
Many web-based systems have a tiered application architecture, in which a request needs to transverse all the tiers before finishing its processing. One of the most important QoS...
Kamalika Chaudhuri, Anshul Kothari, Rudi Pendaving...