Adaptive Scheduling: A Reinforcement Learning Whittle Index Approach for Wireless Sensor Networks

We propose a Reinforcement Learning (RL)-based scheduling framework for Restless Multi-Armed Bandit (RMAB) problems, centred on a Whittle Index Q-Learning policy with Upper Confidence Bound (Whittle index Q-Learning (WIQL)-upper confidence bound (UCB)) exploration. Unlike existing approaches that re...

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Egile Nagusiak:	Sokipriala Jonah, Seong Ki Yoo, Saurav Sthapit
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	IEEE 2026-01-01
Saila:	IEEE Access
Gaiak:	Age of incorrect information reinforcement learning restless multi-armed bandit upper confidence bound wireless sensor networks
Sarrera elektronikoa:	https://ieeexplore.ieee.org/document/11433425/
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