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» Coarticulation in Markov Decision Processes
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CORR
2008
Springer
103views Education» more  CORR 2008»
13 years 7 months ago
Quickest Change Detection of a Markov Process Across a Sensor Array
Recent attention in quickest change detection in the multi-sensor setting has been on the case where the densities of the observations change at the same instant at all the sensor...
Vasanthan Raghavan, Venugopal V. Veeravalli
AUSAI
2008
Springer
13 years 9 months ago
An Optimality Principle for Concurrent Systems
Abstract. This paper presents a formulation of an optimality principle for a new class of concurrent decision systems formed by products of deterministic Markov decision processes ...
Langford B. White, Sarah L. Hickmott
CORR
2010
Springer
147views Education» more  CORR 2010»
13 years 7 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...
ICONIP
2009
13 years 5 months ago
A Markov Model for Multiagent Patrolling in Continuous Time
Abstract. We present a model for the multiagent patrolling problem with continuous-time. An anytime and online algorithm is then described and extended to asynchronous multiagent d...
Jean-Samuel Marier, Camille Besse, Brahim Chaib-dr...
IJCAI
2001
13 years 9 months ago
An Improved Grid-Based Approximation Algorithm for POMDPs
Although a partially observable Markov decision process (POMDP) provides an appealing model for problems of planning under uncertainty, exact algorithms for POMDPs are intractable...
Rong Zhou, Eric A. Hansen