Sciweavers

337 search results - page 14 / 68
» An Anytime Algorithm for Decision Making under Uncertainty
Sort
View
EMO
2009
Springer
174views Optimization» more  EMO 2009»
14 years 2 months ago
Constraint Programming
To model combinatorial decision problems involving uncertainty and probability, we introduce stochastic constraint programming. Stochastic constraint programs contain both decision...
Pascal Van Hentenryck
ECAI
2004
Springer
14 years 28 days ago
On-Line Search for Solving Markov Decision Processes via Heuristic Sampling
In the past, Markov Decision Processes (MDPs) have become a standard for solving problems of sequential decision under uncertainty. The usual request in this framework is the compu...
Laurent Péret, Frédérick Garc...
JAIR
2007
120views more  JAIR 2007»
13 years 7 months ago
An Algebraic Graphical Model for Decision with Uncertainties, Feasibilities, and Utilities
Numerous formalisms and dedicated algorithms have been designed in the last decades to model and solve decision making problems. Some formalisms, such as constraint networks, can ...
Cédric Pralet, Gérard Verfaillie, Th...
ECAI
2006
Springer
13 years 11 months ago
Decision with Uncertainties, Feasibilities, and Utilities: Towards a Unified Algebraic Framework
Several formalisms exist to express and solve decision problems. Each is designed to capture different kinds of knowledge: utilities expressing preferences, uncertainties on the en...
Cédric Pralet, Gérard Verfaillie, Th...
AAAI
2007
13 years 10 months ago
Purely Epistemic Markov Decision Processes
Planning under uncertainty involves two distinct sources of uncertainty: uncertainty about the effects of actions and uncertainty about the current state of the world. The most wi...
Régis Sabbadin, Jérôme Lang, N...