17543 search results - page 17 / 3509 » Stochastic Optimization Algorithms |
128
Voted
ICML
1998
IEEE
16 years 3 months ago
1998
IEEE
In this paper, we adopt general-sum stochastic games as a framework for multiagent reinforcement learning. Our work extends previous work by Littman on zero-sum stochastic games t...
100
Voted
SDM
2010
SIAM
15 years 4 months ago
2010
SIAM
The high computational cost of nonlinear support vector machines has limited their usability for large-scale problems. We propose two novel stochastic algorithms to tackle this pr...
142
Voted
SODA
2010
ACM
16 years 20 min ago
2010
ACM
We consider a robust model proposed by Scarf, 1958, for stochastic optimization when only the marginal probabilities of (binary) random variables are given, and the correlation be...
129
Voted
ASC
2004
15 years 2 months ago
2004
Global optimization can be used as the main component for reliable decision support systems. In this contribution, we explore numerical solution techniques for nonconvex and nondi...
139
Voted
CDC
2009
IEEE
15 years 13 days ago
2009
IEEE
Abstract-- The problem of finding the eigenvector corresponding to the largest eigenvalue of a stochastic matrix has numerous applications in ranking search results, multi-agent co...