Learning-Augmented Dynamic Power Management with Multiple States via New Ski Rental Bounds

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Control systems operating in real-world environments often face disturbances arising from measurement noise and model mismatch. These factors can significantly impact the perfor- mance and safety of the system. In this thesis, we aim to leverage data to de ...

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Multi-agent Learning with Privacy Guarantees

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