Sciweavers
Explore
Publications
Books
Software
Tutorials
Presentations
Lectures Notes
Datasets
Labs
Conferences
Community
Upcoming
Conferences
Top Ranked Papers
Most Viewed Conferences
Conferences by Acronym
Conferences by Subject
Conferences by Year
Tools
Sci2ools
International Keyboard
Graphical Social Symbols
CSS3 Style Generator
OCR
Web Page to Image
Web Page to PDF
Merge PDF
Split PDF
Latex Equation Editor
Extract Images from PDF
Convert JPEG to PS
Convert Latex to Word
Convert Word to PDF
Image Converter
PDF Converter
Community
Sciweavers
About
Terms of Use
Privacy Policy
Cookies
Free Online Productivity Tools
i2Speak
i2Symbol
i2OCR
iTex2Img
iWeb2Print
iWeb2Shot
i2Type
iPdf2Split
iPdf2Merge
i2Bopomofo
i2Arabic
i2Style
i2Image
i2PDF
iLatex2Rtf
Sci2ools
30
click to vote
ICML
2009
IEEE
favorite
Email
discuss
report
185
views
Machine Learning
»
more
ICML 2009
»
Kernelized value function approximation for reinforcement learning
14 years 11 months ago
Download
www.cs.duke.edu
Gavin Taylor, Ronald Parr
Real-time Traffic
ICML 2009
|
Machine Learning
|
Value Function Approximation
|
claim paper
Related Content
»
Value Function Approximation on NonLinear Manifolds for Robot Motor Control
»
Feature Selection for Value Function Approximation Using Bayesian Model Selection
»
Tracking value function dynamics to improve reinforcement learning with piecewise linear f...
»
Efficient exploration through active learning for value function approximation in reinforc...
»
CBR for State Value Function Approximation in Reinforcement Learning
»
Value Function Approximation in Reinforcement Learning Using the Fourier Basis
»
Generalization in Reinforcement Learning Safely Approximating the Value Function
»
Explicit Manifold Representations for ValueFunction Approximation in Reinforcement Learnin...
»
Least absolute policy iteration for robust value function approximation
more »
Post Info
More Details (n/a)
Added
17 Nov 2009
Updated
17 Nov 2009
Type
Conference
Year
2009
Where
ICML
Authors
Gavin Taylor, Ronald Parr
Comments
(0)
Researcher Info
Machine Learning Study Group
Computer Vision