221 search results - page 5 / 45 » A Linear Decision-Based Approximation Approach to Stochastic... |
FLAIRS
2009
13 years 5 months ago
2009
Partially observable stochastic games (POSGs) provide a rich mathematical framework for planning under uncertainty by a group of agents. However, this modeling advantage comes wit...
TROB
2010
13 years 5 months ago
2010
—Robotic systems need to be able to plan control actions that are robust to the inherent uncertainty in the real world. This uncertainty arises due to uncertain state estimation,...
SIAMJO
2002
13 years 7 months ago
2002
In this paper we study a Monte Carlo simulation based approach to stochastic discrete optimization problems. The basic idea of such methods is that a random sample is generated and...
AIPS
2008
13 years 9 months ago
2008
Planning problems are often formulated as heuristic search. The choice of the heuristic function plays a significant role in the performance of planning systems, but a good heuris...
FOCS
2005
IEEE
14 years 1 months ago
2005
IEEE
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...