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SIAMCO
2002
71views more  SIAMCO 2002»
13 years 8 months ago
Rate of Convergence for Constrained Stochastic Approximation Algorithms
There is a large literature on the rate of convergence problem for general unconstrained stochastic approximations. Typically, one centers the iterate n about the limit point then...
Robert Buche, Harold J. Kushner
MOC
2002
148views more  MOC 2002»
13 years 8 months ago
Convergence of an iterative algorithm for solving Hamilton-Jacobi type equations
Abstract. Solutions of the optimal control and H-control problems for nonlinear affine systems can be found by solving Hamilton-Jacobi equations. However, these first order nonline...
Jerry Markman, I. Norman Katz
TSP
2008
85views more  TSP 2008»
13 years 8 months ago
Convergence of a Class of Decentralized Beamforming Algorithms
One of the key issues in decentralized beamforming is the need to phasealign the carriers of all the sensors in the network. Recent work in this area has shown the viability of ce...
James A. Bucklew, William A. Sethares
IJCV
2006
142views more  IJCV 2006»
13 years 8 months ago
Geometry and Convergence Analysis of Algorithms for Registration of 3D Shapes
The computation of a rigid body transformation which optimally aligns a set of measurement points with a surface and related registration problems are studied from the viewpoint o...
Helmut Pottmann, Qi-Xing Huang, Yong-Liang Yang, S...
ATAL
2009
Springer
14 years 3 months ago
Multiagent reinforcement learning: algorithm converging to Nash equilibrium in general-sum discounted stochastic games
This paper introduces a multiagent reinforcement learning algorithm that converges with a given accuracy to stationary Nash equilibria in general-sum discounted stochastic games. ...
Natalia Akchurina