181 search results - page 28 / 37 » Modeling the Dynamics of UML State Machines |
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
We consider reinforcement learning in systems with unknown dynamics. Algorithms such as E3 (Kearns and Singh, 2002) learn near-optimal policies by using "exploration policies...
ICML
2000
IEEE
13 years 12 months ago
2000
IEEE
The reinforcement learning problem can be decomposed into two parallel types of inference: (i) estimating the parameters of a model for the underlying process; (ii) determining be...
VRML
2000
ACM
13 years 12 months ago
2000
ACM
Modeling is used to build structures that serve as surrogates for other objects. As children, we learn to model at a very young age. An object such as a small toy train teaches us...
BMCBI
2008
13 years 7 months ago
2008
Background: Protein secondary structure prediction method based on probabilistic models such as hidden Markov model (HMM) appeals to many because it provides meaningful informatio...
IFIP
1994
Springer
13 years 11 months ago
1994
Springer
The computer simulation control problem can be splitted in two parts, namely a local control problem and a global control problem. The local control de nes the \behavior" of ...