312 search results - page 11 / 63 » Learning Partially Observable Deterministic Action Models |
ICTAI
1996
IEEE
13 years 11 months ago
1996
IEEE
This paper presents an approach to building plans using partially observable Markov decision processes. The approach begins with a base solution that assumes full observability. T...
EWRL
2008
13 years 9 months ago
2008
If one possesses a model of a controlled deterministic system, then from any state, one may consider the set of all possible reachable states starting from that state and using any...
FUIN
2007
13 years 7 months ago
2007
A formal model for description of passive and active timing attacks is presented, studied and compared with other security concepts. It is based on a timed process algebra and on a...
ECML
2006
Springer
13 years 11 months ago
2006
Springer
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
AIPS
2008
13 years 10 months ago
2008
The POMDP is considered as a powerful model for planning under uncertainty. However, it is usually impractical to employ a POMDP with exact parameters to model precisely the real-...