622 search results - page 4 / 125 » Stochastic programming approach to optimization under uncert... |
CONSTRAINTS
2006
14 years 9 months ago
2006
To model combinatorial decision problems involving uncertainty and probability, we introduce scenario based stochastic constraint programming. Stochastic constraint programs conta...
NIPS
2007
14 years 11 months ago
2007
Most models of decision-making in neuroscience assume an infinite horizon, which yields an optimal solution that integrates evidence up to a fixed decision threshold; however, u...
AAMAS
2010
Springer
14 years 9 months ago
2010
Springer
POMDPs and their decentralized multiagent counterparts, DEC-POMDPs, offer a rich framework for sequential decision making under uncertainty. Their computational complexity, howeve...
FLAIRS
2009
14 years 7 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...
CP
2008
Springer
14 years 11 months ago
2008
Springer
Abstract. Cost-based filtering is a novel approach that combines techniques from Operations Research and Constraint Programming to filter from decision variable domains values that...