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» Multi-objective Model Checking of Markov Decision Processes
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IANDC
2006
117views more  IANDC 2006»
13 years 8 months ago
Statistical probabilistic model checking with a focus on time-bounded properties
Probabilistic verification of continuous-time stochastic processes has received increasing attention in the model-checking community in the past five years, with a clear focus on ...
Håkan L. S. Younes, Reid G. Simmons
CORR
2012
Springer
235views Education» more  CORR 2012»
12 years 4 months ago
An Incremental Sampling-based Algorithm for Stochastic Optimal Control
Abstract— In this paper, we consider a class of continuoustime, continuous-space stochastic optimal control problems. Building upon recent advances in Markov chain approximation ...
Vu Anh Huynh, Sertac Karaman, Emilio Frazzoli
CAV
2010
Springer
185views Hardware» more  CAV 2010»
13 years 9 months ago
Achieving Distributed Control through Model Checking
Abstract. We apply model checking of knowledge properties to the design of distributed controllers that enforce global constraints on concurrent systems. We calculate when processe...
Susanne Graf, Doron Peled, Sophie Quinton
CORR
2010
Springer
147views Education» more  CORR 2010»
13 years 8 months ago
High-Rate Quantization for the Neyman-Pearson Detection of Hidden Markov Processes
This paper investigates the decentralized detection of Hidden Markov Processes using the NeymanPearson test. We consider a network formed by a large number of distributed sensors....
Joffrey Villard, Pascal Bianchi, Eric Moulines, Pa...
JAIR
2002
120views more  JAIR 2002»
13 years 8 months ago
Learning Geometrically-Constrained Hidden Markov Models for Robot Navigation: Bridging the Topological-Geometrical Gap
Hidden Markov models hmms and partially observable Markov decision processes pomdps provide useful tools for modeling dynamical systems. They are particularly useful for represent...
Hagit Shatkay, Leslie Pack Kaelbling