A Thompson-sampling Whittle-index framework for data center demand response is extended with gated priors, low-rank smoothing, and adaptive mixing, and is shown in simulations to outperform baseline policies in sparse-data stress tests.
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Refined Thompson Learning for Adaptive Bandits: Sustainable Power-Efficient Flexibility Scheduling Across Data Centers
A Thompson-sampling Whittle-index framework for data center demand response is extended with gated priors, low-rank smoothing, and adaptive mixing, and is shown in simulations to outperform baseline policies in sparse-data stress tests.