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News/Online Learning of Whittle Indices for Restless Bandits with Non-Stationary Transition Kernels
arxiv
PublishedApril 22, 2026 at 4:00 AM

Online Learning of Whittle Indices for Restless Bandits with Non-Stationary Transition Kernels

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arXiv:2506.18186v3 Announce Type: replace Abstract: The restless multi-armed bandit (RMAB) framework is a popular approach to solving resource allocation problems in networked systems. In this paper, we study optimal resource allocation in RMABs facing unknown and non-stationary dynamics. Solving RM

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