Sciweavers

133 search results - page 18 / 27
» Sequential Decision Making Under Uncertainty
Sort
View
IJCAI
2003
15 years 3 months ago
Scenario-based Stochastic Constraint Programming
To model combinatorial decision problems involving uncertainty and probability, we extend the stochastic constraint programming framework proposed in [Walsh, 2002] along a number ...
Suresh Manandhar, Armagan Tarim, Toby Walsh
FLAIRS
2007
15 years 4 months ago
Structure Information in Decision Trees and Similar Formalisms
In attempting to address real-life decision problems, where uncertainty about input data prevails, some kind of representation of imprecise information is important and several ha...
Mats Danielson, Love Ekenberg, David Sundgren
167
Voted
SOCIALCOM
2010
14 years 11 months ago
A Decision Theoretic Approach to Data Leakage Prevention
Abstract--In both the commercial and defense sectors a compelling need is emerging for rapid, yet secure, dissemination of information. In this paper we address the threat of infor...
Janusz Marecki, Mudhakar Srivatsa, Pradeep Varakan...
ICTAI
2010
IEEE
14 years 11 months ago
A Closer Look at MOMDPs
Abstract--The difficulties encountered in sequential decisionmaking problems under uncertainty are often linked to the large size of the state space. Exploiting the structure of th...
Mauricio Araya-López, Vincent Thomas, Olivi...
JAIR
2008
130views more  JAIR 2008»
15 years 1 months ago
Online Planning Algorithms for POMDPs
Partially Observable Markov Decision Processes (POMDPs) provide a rich framework for sequential decision-making under uncertainty in stochastic domains. However, solving a POMDP i...
Stéphane Ross, Joelle Pineau, Sébast...