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NIPS
1993
15 years 8 months ago
1993
Recent developments in the area of reinforcement learning have yielded a number of new algorithms for the prediction and control of Markovian environments. These algorithms,includ...
170
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CSSE
2008
IEEE
16 years 1 months ago
2008
IEEE
—This paper presents an auxiliary model based stochastic gradient parameter estimation algorithm for multiinput output-error systems by minimizing a quadratic cost function. The ...
158
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SIAMCO
2002
15 years 6 months ago
2002
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...
148
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SAINT
2005
IEEE
16 years 6 days ago
2005
IEEE
Stochastic bounds are a promising method to analyze QoS requirements. Indeed it is sufficient to prove that a bound of the real performance satisfies the guarantee. However, the...