187 search results - page 4 / 38 » Hedging Uncertainty: Approximation Algorithms for 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...
SAGA
2009
Springer
14 years 2 months ago
2009
Springer
Stochastic programming problems appear as mathematical models for optimization problems under stochastic uncertainty. Most computational approaches for solving such models are base...
EVOW
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. Real-world optimization problems are often subject to uncertainties, which can arise regarding stochastic model parameters, objective functions and decision variables. Th...
ATAL
2004
Springer
14 years 25 days ago
2004
Springer
Partially observable decentralized decision making in robot teams is fundamentally different from decision making in fully observable problems. Team members cannot simply apply si...
ICRA
2008
IEEE
14 years 1 months ago
2008
IEEE
— Modeling robot motion planning with uncertainty in a Bayesian framework leads to a computationally intractable stochastic control problem. We seek hypotheses that can justify a...