Amanote Research
Register
Sign In
Approximate Dynamic Programming Using Support Vector Regression
doi 10.1109/cdc.2008.4739322
Full Text
Open PDF
Abstract
Available in
full text
Date
January 1, 2008
Authors
Brett Bethke
Jonathan P. How
Asuman Ozdaglar
Publisher
IEEE
Related search
Patient Admission Planning Using Approximate Dynamic Programming
Flexible Services and Manufacturing Journal
Management Science
Industrial
Operations Research
Manufacturing Engineering
A Forecasting Methodology Using Support Vector Regression and Dynamic Feature Selection
Journal of Information and Knowledge Management
Computer Networks
Computer Science Applications
Information Sciences
Library
Communications
Support Vector Regression
A Fast Bit-Vector Algorithm for Approximate String Matching Based on Dynamic Programming
Journal of the ACM
Control
Systems Engineering
Information Systems
Hardware
Architecture
Artificial Intelligence
Software
Optimal Learning and Approximate Dynamic Programming
Data-Driven Approximate Dynamic Programming: A Linear Programming Approach
Bayesian Support Vector Regression Using a Unified Loss Function
IEEE Transactions on Neural Networks
Position Control of Ultrasonic Motor Using Support Vector Regression
Journal of the Japan Society for Precision Engineering, Contributed Papers
Digital Terrain Model Height Estimation Using Support Vector Machine Regression
South African Journal of Science
Planetary Sciences
Genetics
Molecular Biology
Biochemistry
Biological Sciences
Earth
Agricultural
