313 search results - page 27 / 63 » Consistent Approximations and Approximate Functions and Grad... |
151
Voted
ICML
1996
IEEE
15 years 7 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...
100
Voted
ICA
2004
Springer
15 years 9 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...
214
Voted
GECCO
2008
Springer
15 years 4 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...
146
Voted
CDC
2009
IEEE
15 years 6 months 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...
125
click to vote
CORR
2008
Springer
15 years 3 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...