POMDP Structural Results for Controlled Sensing
Vikram Krishnamurthy
TL;DR
This paper reviews structural results in controlled sensing modeled as POMDPs, focusing on properties like monotone value functions, Blackwell dominance, and quickest detection, to enhance understanding of optimal decision strategies.
Contribution
It provides a concise review of key structural results in POMDP-based controlled sensing, highlighting their roles in decision-making processes.
Findings
Monotone value functions facilitate optimal policy characterization.
Blackwell dominance informs sensor selection strategies.
Quickest detection techniques improve timely decision-making.
Abstract
This article provides a short review of some structural results in controlled sensing when the problem is formulated as a partially observed Markov decision process. In particular, monotone value functions, Blackwell dominance and quickest detection are described.
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Taxonomy
TopicsDistributed Sensor Networks and Detection Algorithms · Advanced Statistical Process Monitoring · Fault Detection and Control Systems