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» Solving multiagent assignment Markov decision processes
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ARTMED
2000
105views more  ARTMED 2000»
13 years 9 months ago
Planning treatment of ischemic heart disease with partially observable Markov decision processes
Diagnosis of a disease and its treatment are not separate, one-shot activities. Instead, they are very often dependent and interleaved over time. This is mostly due to uncertainty...
Milos Hauskrecht, Hamish S. F. Fraser
UAI
2000
13 years 11 months ago
The Complexity of Decentralized Control of Markov Decision Processes
We consider decentralized control of Markov decision processes and give complexity bounds on the worst-case running time for algorithms that find optimal solutions. Generalization...
Daniel S. Bernstein, Shlomo Zilberstein, Neil Imme...
AI
2008
Springer
13 years 9 months ago
Reachability analysis of uncertain systems using bounded-parameter Markov decision processes
Verification of reachability properties for probabilistic systems is usually based on variants of Markov processes. Current methods assume an exact model of the dynamic behavior a...
Di Wu, Xenofon D. Koutsoukos
SARA
2007
Springer
14 years 3 months ago
Active Learning of Dynamic Bayesian Networks in Markov Decision Processes
Several recent techniques for solving Markov decision processes use dynamic Bayesian networks to compactly represent tasks. The dynamic Bayesian network representation may not be g...
Anders Jonsson, Andrew G. Barto
GLVLSI
2005
IEEE
118views VLSI» more  GLVLSI 2005»
14 years 3 months ago
A continuous time markov decision process based on-chip buffer allocation methodology
We have presented an optimal on-chip buffer allocation and buffer insertion methodology which uses stochastic models of the architecture. This methodology uses finite buffer s...
Sankalp Kallakuri, Nattawut Thepayasuwan, Alex Dob...