Research on Distributed Multi-Sensor Cooperative Scheduling Model Based on Partially Observable Markov Decision Process [PDF]
Sensors, 2022 In the context of distributed defense, multi-sensor networks are required to be able to carry out reasonable planning and scheduling to achieve the purpose of continuous, accurate and rapid target detection.
Zhen Zhang +3 more
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Cost-Bounded Active Classification Using Partially Observable Markov Decision Processes [PDF]
, 2018 Active classification, i.e., the sequential decision-making process aimed at data acquisition for classification purposes, arises naturally in many applications, including medical diagnosis, intrusion detection, and object tracking.
Bo Wu +3 more
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An algorithm to create model file for Partially Observable Markov Decision Process for mobile robot path planning [PDF]
MethodsXThe Partially Observable Markov Decision Process (POMDP), a mathematical framework for decision-making in uncertain environments suffers from the curse of dimensionality.
Shripad V. Deshpande +3 more
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History-dependent Evaluations in Partially Observable Markov Decision Process [PDF]
SIAM Journal on Control and Optimization, 2021 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xavier Venel, Bruno Ziliotto
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Partially Observable Markov Decision Processes in Robotics: A Survey [PDF]
IEEE Transactions on Robotics, 2022 Noisy sensing, imperfect control, and environment changes are defining characteristics of many real-world robot tasks. The partially observable Markov decision process (POMDP) provides a principled mathematical framework for modeling and solving robot decision and control tasks under uncertainty.
Mikko Lauri, David Hsu, Joni Pajarinen
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Partially Observable Risk-Sensitive Markov Decision Processes [PDF]
Mathematics of Operations Research, 2016 We consider the problem of minimizing a certainty equivalent of the total or discounted cost over a finite and an infinite time horizon which is generated by a Partially Observable Markov Decision Process (POMDP).
Bäuerle, Nicole, Rieder, Ulrich
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Partially Observable Markov Decision Process-Based Transmission Policy over Ka-Band Channels for Space Information Networks [PDF]
Entropy, 2017 The Ka-band and higher Q/V band channels can provide an appealing capacity for the future deep-space communications and Space Information Networks (SIN), which are viewed as a primary solution to satisfy the increasing demands for high data rate services.
Jian Jiao +4 more
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Robust Partially Observable Markov Decision Processes
SSRN Electronic Journal, 2018 In a variety of applications, decisions needs to be made dynamically after receiving imperfect observations about the state of an underlying system. Partially Observable Markov Decision Processes (POMDPs) are widely used in such applications. To use a POMDP, however, a decision-maker must have access to reliable estimations of core state and ...
Mohammad Rasouli, Soroush Saghafian
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Qualitative Analysis of Partially-Observable Markov Decision Processes [PDF]
, 2010 We study observation-based strategies for partially-observable Markov decision processes (POMDPs) with omega-regular objectives. An observation-based strategy relies on partial information about the history of a play, namely, on the past sequence of observations.
Krishnendu Chatterjee +2 more
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Partially Observable Markov Decision Processes in Shared Autonomy Applications: A Survey
IEEE AccessShared autonomy consists of a collaborative effort between a human user and a robotic system having a shared goal, in which the human-controlled robot adapts its behaviour to provide assistive actions.
Shyrailym Shaldambayeva +4 more
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