382 search results - page 6 / 77 » Gradient estimation in global optimization algorithms |
UAI
2001
13 years 9 months ago
2001
There exist a number of reinforcement learning algorithms which learn by climbing the gradient of expected reward. Their long-run convergence has been proved, even in partially ob...
SIP
2003
2003
Time Domain Optimization Techniques for Blind Separation of Non-stationary Convolutive Mixed Signals
13 years 9 months ago
This paper aims to solve the problem of Blind Signal Separation (BSS) in a convolutive environment based on output correlation matrix diagonalization. Firstly an extension of the ...
CEC
2011
IEEE
12 years 7 months ago
2011
IEEE
—Stochastic relaxation aims at finding the minimum of a fitness function by identifying a proper sequence of distributions, in a given model, that minimize the expected value o...
ICCD
2001
IEEE
14 years 4 months ago
2001
IEEE
As the operating frequency increases to Giga Hertz and the rise time of a signal is less than or comparable to the time-of-flight delay of a line, it is necessary to consider the...
WSC
2001
13 years 9 months ago
2001
We examine the theoretical and numerical global convergence properties of a certain "gradient free" stochastic approximation algorithm called the "simultaneous pertu...