499 search results - page 64 / 100 » Model Minimization in Markov Decision Processes |
IJCAI
2007
13 years 10 months ago
2007
We consider the fundamental problem of monitoring (i.e. tracking) the belief state in a dynamic system, when the model is only approximately correct and when the initial belief st...
CVPR
2008
IEEE
14 years 3 months ago
2008
IEEE
The spatial distribution of fingerprint minutiae is a core problem in the fingerprint individuality study, the cornerstone of the fingerprint authentication technology. Previously...
ICASSP
2010
IEEE
13 years 8 months ago
2010
IEEE
In this paper we present a novel scheme for unstructured audio scene classification that possesses three highly desirable and powerful features: autonomy, scalability, and robust...
PKDD
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
In the model-based policy search approach to reinforcement learning (RL), policies are found using a model (or "simulator") of the Markov decision process. However, for ...