Smoother Entropy for Active State Trajectory Estimation and Obfuscation in POMDPs
Author:
Affiliation:
1. Department of Electrical and Electronic Engineering, University of Melbourne, VIC, Australia
2. Department of Electrical and Electronic Engineering, University of Melbourne, Parkville, VIC, Australia
Funder
Australian Government
ONR MURI
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9/10137341/10054483.pdf?arnumber=10054483
Reference71 articles.
1. Policy Design for Active Sequential Hypothesis Testing using Deep Learning
2. Mobile Sensor Network Control Using Mutual Information Methods and Particle Filters
3. Entropy in Dynamical Systems
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2. Active Fixed-Sample-Size Hypothesis Testing via POMDP Value Function Lipschitz Bounds;2024 American Control Conference (ACC);2024-07-10
3. Anderson acceleration for partially observable Markov decision processes: A maximum entropy approach;Automatica;2024-05
4. Entropy-Regularized Partially Observed Markov Decision Processes;IEEE Transactions on Automatic Control;2024-01
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