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 reward. T...

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Bibliografiske detaljer

Principais autores:	Kesav Ram Kaza, Rahul H. Meshram, Varunkumar Mehta, Shabbir N. Merchant
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2024-01-01
Serier:	IEEE Access
Fag:	Markov decision processes restless multi-armed bandits dynamic scheduling cyber-physical systems reinforcement learning sequential decision models
Online adgang:	https://ieeexplore.ieee.org/document/10772464/
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