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» An Anytime Algorithm for Decision Making under Uncertainty
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AAAI
2000
13 years 7 months ago
Decision Making under Uncertainty: Operations Research Meets AI (Again)
Models for sequential decision making under uncertainty (e.g., Markov decision processes,or MDPs) have beenstudied in operations research for decades. The recent incorporation of ...
Craig Boutilier
CPAIOR
2008
Springer
13 years 7 months ago
Amsaa: A Multistep Anticipatory Algorithm for Online Stochastic Combinatorial Optimization
The one-step anticipatory algorithm (1s-AA) is an online algorithm making decisions under uncertainty by ignoring future non-anticipativity constraints. It makes near-optimal decis...
Luc Mercier, Pascal Van Hentenryck
ISIPTA
2003
IEEE
124views Mathematics» more  ISIPTA 2003»
13 years 11 months ago
Decision Making with Imprecise Second-Order Probabilities
In this paper we consider decision making under hierarchical imprecise uncertainty models and derive general algorithms to determine optimal actions. Numerical examples illustrate...
Lev V. Utkin
IJCAI
2007
13 years 7 months ago
A Hybridized Planner for Stochastic Domains
Markov Decision Processes are a powerful framework for planning under uncertainty, but current algorithms have difficulties scaling to large problems. We present a novel probabil...
Mausam, Piergiorgio Bertoli, Daniel S. Weld
IJIS
2000
75views more  IJIS 2000»
13 years 5 months ago
Relating decision under uncertainty and multicriteria decision making models
This short overview paper points out the striking similarity between decision under uncertainty and multicriteria decision making problems, two areas which have been developed in ...
Didier Dubois, Michel Grabisch, François Mo...