Amanote Research
Register
Sign In
Q-Learning Algorithms for Optimal Stopping Based on Least Squares
doi 10.23919/ecc.2007.7068523
Full Text
Open PDF
Abstract
Available in
full text
Date
July 1, 2007
Authors
Huizhen Yu
Dimitri P. Bertsekas
Publisher
IEEE
Related search
Least Squares Based and Two-Stage Least Squares Based Iterative Estimation Algorithms for H-Fir-Ma Systems
Mathematical Problems in Engineering
Mathematics
Engineering
Algorithms for Nonlinear Least-Squares Problems
Robust Learning Algorithm Based on Iterative Least Median of Squares
Neural Processing Letters
Computer Networks
Software
Neuroscience
Artificial Intelligence
Communications
Models and Algorithms for Distributionally Robust Least Squares Problems
Mathematical Programming, Series B
Mathematics
Software
Least Squares Parameter Estimation Algorithms for Non-Linear Systems
International Journal of Systems Science
Control
Systems Engineering
Computer Science Applications
Theoretical Computer Science
A Consideration on Blind Identification Algorithms Using Total Least Squares Based on Over-Sampling Method
Journal of Signal Processing
Practical Land Grading Based on Least Squares
Journal of Irrigation and Drainage Engineering - ASCE
Civil
Structural Engineering
Biological Sciences
Agricultural
Water Science
Technology
Fast Quantum Algorithms for Least Squares Regression and Statistic Leverage Scores
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Q-Least Squares Reverse Time Migration With Viscoacoustic Deblurring Filters
Geophysics
Petrology
Energy
Geochemistry
Geophysics