908 search results - page 18 / 182 » Stochastic Finite Learning |
ECML
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. While direct, model-free reinforcement learning often performs better than model-based approaches in practice, only the latter have yet supported theoretical guarantees f...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
In this paper we consider the problem of policy evaluation in reinforcement learning, i.e., learning the value function of a fixed policy, using the least-squares temporal-differe...
ALT
2010
Springer
13 years 9 months ago
2010
Springer
We show that random DNF formulas, random log-depth decision trees and random deterministic finite acceptors cannot be weakly learned with a polynomial number of statistical queries...
ICAPR
2005
Springer
14 years 1 months ago
2005
Springer
In this paper, Multi-View Expectation and Maximization algorithm for finite mixture models is proposed by us to handle realworld learning problems which have natural feature split...
ALENEX
2008
13 years 9 months ago
2008
The multi-period newsvendor problem describes the dilemma of a newspaper salesman--how many paper should he purchase each day to resell, when he doesn't know the demand? We d...