The Optimal Observability of Partially Observable Markov Decision Processes: Discrete State Space

The Optimal Observability of Partially Observable Markov Decision Processes: Discrete State Space

We consider autonomous partially observable Markov decision processes where the control action influences the observation process only. Considering entropy as the cost incurred by the Markov information state process, the optimal observability problem is posed as a Markov decision scheduling problem...

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Bibliographic Details
Main Authors: Rezaeian, M., Vo, Ba-Ngu, Evans, J.
Format: Journal Article
Published: IEEE 2010
Subjects:
observability
Estimation entropy
sensor scheduling
partially observable Markov decision processes
Online Access:http://hdl.handle.net/20.500.11937/24789

Internet

http://hdl.handle.net/20.500.11937/24789

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