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» Tackling Large State Spaces in Performance Modelling
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NIPS
2000
15 years 5 months ago
Using Free Energies to Represent Q-values in a Multiagent Reinforcement Learning Task
The problem of reinforcement learning in large factored Markov decision processes is explored. The Q-value of a state-action pair is approximated by the free energy of a product o...
Brian Sallans, Geoffrey E. Hinton
BMCBI
2006
102views more  BMCBI 2006»
15 years 4 months ago
SNA - a toolbox for the stoichiometric analysis of metabolic networks
Background: Despite recent algorithmic and conceptual progress, the stoichiometric network analysis of large metabolic models remains a computationally challenging problem. Result...
Robert Urbanczik
132
Voted
JSAC
2008
82views more  JSAC 2008»
15 years 4 months ago
Integration of communication and control using discrete time Kuramoto models for multivehicle coordination over broadcast networ
Abstract-- This paper considers the integration of communication and control with respect to the task of coordinated heading control for a group of N vehicles. The heading control ...
Daniel J. Klein, Phillip Lee, Kristi A. Morgansen,...
SIAMSC
2011
126views more  SIAMSC 2011»
14 years 11 months ago
Fast Structured AMG Preconditioning for the Bidomain Model in Electrocardiology
The electrical activity of the heart may be modeled by a non-linear system of partial differential equations known as the bidomain model. Due to the rapid variations in the electr...
Micol Pennacchio, Valeria Simoncini
122
Voted
TON
2008
87views more  TON 2008»
15 years 3 months ago
Large-scale network parameter configuration using an on-line simulation framework
As the Internet infrastructure grows to support a variety of services, its legacy protocols are being overloaded with new functions such as traffic engineering. Today, operators en...
Tao Ye, Hema Tahilramani Kaur, Shivkumar Kalyanara...