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Multipolar opinion evolution in biased networks
In special cases including where biases are uniform across agents our model achieves consensus, but in general, behaviors are richer and capture multipolar opinion distributions.
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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