Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
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Abstract: This tutorial paper provides an overview of distributed multi-armed bandit problems in networks of multiple agents. Each agent repeatedly selects an action from a fixed set of choices and ...
Abstract: The generalized Hamiltonian system theory (GHST) is a powerful tool for excitation control in high-dimensional non-linear power systems, but relies on reduced-order dynamics, given the ...
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