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ICTAI
2000
IEEE
13 years 11 months ago
Building efficient partial plans using Markov decision processes
Markov Decision Processes (MDP) have been widely used as a framework for planning under uncertainty. They allow to compute optimal sequences of actions in order to achieve a given...
Pierre Laroche
FLAIRS
2008
13 years 9 months ago
A Novel Prioritization Technique for Solving Markov Decision Processes
We address the problem of computing an optimal value function for Markov decision processes. Since finding this function quickly and accurately requires substantial computation ef...
Jilles Steeve Dibangoye, Brahim Chaib-draa, Abdel-...
JAIR
2008
145views more  JAIR 2008»
13 years 7 months ago
Communication-Based Decomposition Mechanisms for Decentralized MDPs
Multi-agent planning in stochastic environments can be framed formally as a decentralized Markov decision problem. Many real-life distributed problems that arise in manufacturing,...
Claudia V. Goldman, Shlomo Zilberstein
IJCAI
2001
13 years 8 months ago
Backbones in Optimization and Approximation
We study the impact of backbones in optimization and approximation problems. We show that some optimization problems like graph coloring resemble decision problems, with problem h...
John K. Slaney, Toby Walsh
ATVA
2006
Springer
123views Hardware» more  ATVA 2006»
13 years 11 months ago
Symmetry Reduction for Probabilistic Model Checking Using Generic Representatives
Generic representatives have been proposed for the effective combination of symmetry reduction and symbolic representation with BDDs in non-probabilistic model checking. This appro...
Alastair F. Donaldson, Alice Miller