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ICML
1999
IEEE
14 years 5 months ago
Distributed Value Functions
Many interesting problems, such as power grids, network switches, and tra c ow, that are candidates for solving with reinforcement learningRL, alsohave properties that make distri...
Jeff G. Schneider, Weng-Keen Wong, Andrew W. Moore...
ICML
2007
IEEE
14 years 5 months ago
Constructing basis functions from directed graphs for value function approximation
Basis functions derived from an undirected graph connecting nearby samples from a Markov decision process (MDP) have proven useful for approximating value functions. The success o...
Jeffrey Johns, Sridhar Mahadevan
EUSFLAT
2007
108views Fuzzy Logic» more  EUSFLAT 2007»
13 years 6 months ago
Lattice-Valued Possibilistic Entropy Functions
Lattice-valued entropy functions defined by a lattice-valued possibilistic distribution π on a space Ω are defined as the expected value (in the sense of Sugeno integral) of ...
Ivan Kramosil
PPSN
2004
Springer
13 years 10 months ago
Distribution Tree-Building Real-Valued Evolutionary Algorithm
This article describes a new model of probability density function and its use in estimation of distribution algorithms. The new model, the distribution tree, has interesting prope...
Petr Posik
JSAC
2008
86views more  JSAC 2008»
13 years 4 months ago
Distributed function calculation and consensus using linear iterative strategies
Given an arbitrary network of interconnected nodes, we develop and analyze a distributed strategy that enables a subset of the nodes to calculate any given function of the node val...
Shreyas Sundaram, Christoforos N. Hadjicostis