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AIPS
2004
13 years 8 months ago
Optimal Resource Allocation and Policy Formulation in Loosely-Coupled Markov Decision Processes
The problem of optimal policy formulation for teams of resource-limited agents in stochastic environments is composed of two strongly-coupled subproblems: a resource allocation pr...
Dmitri A. Dolgov, Edmund H. Durfee
FMCO
2009
Springer
161views Formal Methods» more  FMCO 2009»
13 years 5 months ago
The How and Why of Interactive Markov Chains
This paper reviews the model of interactive Markov chains (IMCs, for short), an extension of labelled transition systems with exponentially delayed transitions. We show that IMCs a...
Holger Hermanns, Joost-Pieter Katoen
AUTOMATICA
2007
124views more  AUTOMATICA 2007»
13 years 7 months ago
Motion planning in uncertain environments with vision-like sensors
In this work we present a methodology for intelligent path planning in an uncertain environment using vision like sensors, i.e., sensors that allow the sensing of the environment ...
Suman Chakravorty, John L. Junkins
CLEIEJ
2010
13 years 4 months ago
Fuzzy Systems for Multicriteria Decision Making
One of the techniques used to support decisions in uncertain environments is the Fuzzy TOPSIS method. However, from crisp data, this method considers only one fuzzy set in their a...
Fabio J. J. Santos, Heloisa A. Camargo
IJRR
2010
162views more  IJRR 2010»
13 years 5 months ago
Planning under Uncertainty for Robotic Tasks with Mixed Observability
Partially observable Markov decision processes (POMDPs) provide a principled, general framework for robot motion planning in uncertain and dynamic environments. They have been app...
Sylvie C. W. Ong, Shao Wei Png, David Hsu, Wee Sun...