510 search results - page 6 / 102 » Gradient Estimation Revitalized |
CORR
2004
Springer
13 years 7 months ago
2004
Springer
We study a general online convex optimization problem. We have a convex set S and an unknown sequence of cost functions c1, c2, . . . , and in each period, we choose a feasible po...
CORR
2006
Springer
13 years 7 months ago
2006
Springer
This paper addresses the issue of policy evaluation in Markov Decision Processes, using linear function approximation. It provides a unified view of algorithms such as TD(), LSTD()...
COLT
2008
Springer
13 years 9 months ago
2008
Springer
Coordinate gradient learning is motivated by the problem of variable selection and determining variable covariation. In this paper we propose a novel unifying framework for coordi...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
A vector-sensor consisting of a monopole sensor collocated with orthogonally oriented dipole sensors can be used for direction-ofarrival (DOA) estimation. A method is proposed to ...
IOR
2011
13 years 2 months ago
2011
We derive a knowledge gradient policy for an optimal learning problem on a graph, in which we use sequential measurements to refine Bayesian estimates of individual edge values i...