313 search results - page 27 / 63 » Consistent Approximations and Approximate Functions and Grad... |
ICML
1996
IEEE
14 years 1 months ago
1996
IEEE
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
ICA
2004
Springer
14 years 2 months ago
2004
Springer
We propose a relative optimization framework for quasi maximum likelihood blind deconvolution and the relative Newton method as its particular instance. Special Hessian structure a...
GECCO
2008
Springer
13 years 10 months ago
2008
Springer
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
CDC
2009
IEEE
14 years 5 days ago
2009
IEEE
Abstract— For stochastic hybrid systems, stochastic reachability is very little supported mainly because of complexity and difficulty of the associated mathematical problems. In...
CORR
2008
Springer
13 years 9 months ago
2008
Springer
We consider the problem of rate allocation in a fading Gaussian multiple-access channel (MAC) with fixed transmission powers. Our goal is to maximize a general concave utility func...