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SIAMCO
2010
66views more  SIAMCO 2010»
13 years 3 months ago
Regression Methods for Stochastic Control Problems and Their Convergence Analysis
Denis Belomestny, Anastasia Kolodko, John Schoenma...
SIAMCO
2000
117views more  SIAMCO 2000»
13 years 4 months ago
The O.D.E. Method for Convergence of Stochastic Approximation and Reinforcement Learning
It is shown here that stability of the stochastic approximation algorithm is implied by the asymptotic stability of the origin for an associated ODE. This in turn implies convergen...
Vivek S. Borkar, Sean P. Meyn
CDC
2010
IEEE
176views Control Systems» more  CDC 2010»
12 years 12 months ago
Random projection algorithms for convex set intersection problems
The focus of this paper is on the set intersection problem for closed convex sets admitting projection operation in a closed form. The objective is to investigate algorithms that w...
Angelia Nedic
GECCO
2007
Springer
147views Optimization» more  GECCO 2007»
13 years 11 months ago
Exact analysis of the sampling distribution for the canonical particle swarm optimiser and its convergence during stagnation
Several theoretical analyses of the dynamics of particle swarms have been offered in the literature over the last decade. Virtually all rely on substantial simplifications, incl...
Riccardo Poli, David S. Broomhead
ICML
2000
IEEE
14 years 5 months ago
Rates of Convergence for Variable Resolution Schemes in Optimal Control
This paper presents a general method to derive tight rates of convergence for numerical approximations in optimal control when we consider variable resolution grids. We study the ...
Andrew W. Moore, Rémi Munos