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Multipolar opinion evolution in biased networks
Motivated by empirical research on bias and opinion formation, we formulate a multidimensional nonlinear opinion-dynamical model where agents have individual biases, which are fixed, as well as opinions, which evolve.
Scalable Reinforcement Learning for Linear-Quadratic Control of Networks
In this work, we study a special class of such problems where distributed state feedback controllers can give near-optimal performance.
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