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Distributed Deep Koopman Learning for Nonlinear Dynamics
Koopman operator theory has proven to be highly significant in system identification, even for challenging scenarios involving nonlinear time-varying systems (NTVS).
Distributed Optimization via Kernelized Multi-armed Bandits
In the proposed approach, the agents sample their individual local functions in a way that benefits the whole network by utilizing a running consensus to estimate the upper confidence bound on the global function.
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