232 search results - page 4 / 47 » Predictive linear-Gaussian models of controlled stochastic d... |
NIPS
1996
13 years 8 months ago
1996
Model learning combined with dynamic programming has been shown to be e ective for learning control of continuous state dynamic systems. The simplest method assumes the learned mod...
CDC
2009
IEEE
13 years 4 months ago
2009
IEEE
Stochastic Flow Models (SFMs) are stochastic ystems that abstract the dynamics of complex discrete event systems involving the control of sharable resources. SFMs have been used to...
QOSA
2007
Springer
14 years 1 months ago
2007
Springer
: Modern society relies heavily on complex software systems for everyday activities. Dependability of these systems thus has become a critical feature that determines which product...
AAAI
2008
13 years 9 months ago
2008
When controlling dynamic systems, such as mobile robots in uncertain environments, there is a trade off between risk and reward. For example, a race car can turn a corner faster b...
AIPS
1994
13 years 8 months ago
1994
In this work we present an approach to solving time-critical decision-making problems by taking advantage of domain structure to expand the amountof time available for processing ...