Constrained Restless Bandits for Dynamic Scheduling in Cyber-Physical Systems

Constrained Restless Bandits for Dynamic Scheduling in Cyber-Physical Systems

This paper develops a sequential decision-making framework called constrained restless multi-armed bandits (CRMABs) to model problems of resource allocation under uncertainty and dynamic availability constraints. The decision-maker’s objective is to maximize the long-term cumulative rewar...

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Bibliographic Details
Main Authors: Kesav Ram Kaza, Rahul H. Meshram, Varunkumar Mehta, Shabbir N. Merchant
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Markov decision processes
restless multi-armed bandits
dynamic scheduling
cyber-physical systems
reinforcement learning
sequential decision models
Online Access:https://ieeexplore.ieee.org/document/10772464/
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https://ieeexplore.ieee.org/document/10772464/

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