827 search results - page 9 / 166 » Variational methods for Reinforcement Learning |
87
Voted
AUSAI
2004
Springer
15 years 5 months ago
2004
Springer
In this paper, we propose a dynamic allocation method of basis functions, an Allocation/Elimination Gaussian Softmax Basis Function Network (AE-GSBFN), that is used in reinforcemen...
119
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NIPS
2007
15 years 1 months ago
2007
Learning in real-world domains often requires to deal with continuous state and action spaces. Although many solutions have been proposed to apply Reinforcement Learning algorithm...
107
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IS
2010
14 years 9 months ago
2010
The routing in communication networks is typically a multicriteria decision making (MCDM) problem. However, setting the parameters of most used MCDM methods to fit the preferences ...
CEC
2007
IEEE
15 years 6 months ago
2007
IEEE
—The purpose of this paper is to present a comparison between two methods of building adaptive controllers for robots. In spite of the wide range of techniques which are used for...
80
Voted
IJCNN
2000
IEEE
15 years 4 months ago
2000
IEEE
