231 search results - page 13 / 47 » Stochastic Optimization is (Almost) as easy as Deterministic... |
ICML
2001
IEEE
14 years 8 months ago
2001
IEEE
Direct policy search is a practical way to solve reinforcement learning problems involving continuous state and action spaces. The goal becomes finding policy parameters that maxi...
WSC
2008
13 years 9 months ago
2008
We study a stochastic optimization problem that has its roots in financial portfolio design. The problem has a specified deterministic objective function and constraints on the co...
IJON
2006
13 years 7 months ago
2006
This work is a suitability study of the different optimization methods for automated parameter estimation (fitting) in the context of neuronal signaling networks. The Gepasi simul...
SIGECOM
2004
ACM
14 years 29 days ago
2004
ACM
In this paper, we combine two approaches to handling uncertainty: we use techniques for finding optimal solutions in the expected sense to solve combinatorial optimization proble...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
We present a novel approach for full body pose tracking using stochastic sampling. A volumetric reconstruction of a person is extracted from silhouettes in multiple video images. ...