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ICML
2010
IEEE
13 years 5 months ago
Convergence of Least Squares Temporal Difference Methods Under General Conditions
We consider approximate policy evaluation for finite state and action Markov decision processes (MDP) in the off-policy learning context and with the simulation-based least square...
Huizhen Yu
SIAMJO
2010
137views more  SIAMJO 2010»
13 years 2 months ago
Global Convergence of a New Hybrid Gauss--Newton Structured BFGS Method for Nonlinear Least Squares Problems
In this paper, we propose a hybrid Gauss-Newton structured BFGS method with a new update formula and a new switch criterion for the iterative matrix to solve nonlinear least square...
Weijun Zhou, Xiaojun Chen
CORR
2011
Springer
206views Education» more  CORR 2011»
12 years 11 months ago
Convergence analysis of a proximal Gauss-Newton method
Abstract An extension of the Gauss-Newton algorithm is proposed to find local minimizers of penalized nonlinear least squares problems, under generalized Lipschitz assumptions. Co...
Saverio Salzo, Silvia Villa
JAIR
2002
163views more  JAIR 2002»
13 years 4 months ago
Efficient Reinforcement Learning Using Recursive Least-Squares Methods
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
Xin Xu, Hangen He, Dewen Hu
PG
2003
IEEE
13 years 9 months ago
Hierarchical Least Squares Conformal Map
A texture atlas is an efficient way to represent information (like colors, normals, displacement maps ...) on triangulated surfaces. The LSCM method (Least Squares Conformal Maps...
Nicolas Ray, Bruno Lévy