Optimal Threshold Policies for Multivariate Stopping-Time POMDPs

DOI10.1007/978-3-642-02906-6_73zbMath1245.62098OpenAlexW1606999389MaRDI QIDQ3638204

Vikram Krishnamurthy

Publication date: 2 July 2009

Published in: Lecture Notes in Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-02906-6_73

Mathematics Subject Classification ID

Multivariate analysis (62H99) Markov processes: estimation; hidden Markov models (62M05) Stochastic approximation (62L20) Optimal stopping in statistics (62L15)

Uses Software

• POMDPS

Cites Work

• Classes of orderings of measures and related correlation inequalities. I. Multivariate totally positive distributions
• Partially Observed Markov Decision Process Multiarmed Bandits—Structural Results
• Technical Note—On the Convexity of Policy Regions in Partially Observed Systems
• Some Monotonicity Results for Partially Observed Markov Decision Processes
• Structural results for partially observed control models
• Introduction to Stochastic Search and Optimization
• Structured Threshold Policies for Dynamic Sensor Scheduling—A Partially Observed Markov Decision Process Approach
• Networked sensor management and data rate control for tracking maneuvering targets

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