Bounded-rational agents on networks reach higher stationary coordination probability when connectivity is uniform, with the probability increasing in rationality parameter beta and the partition function approximable by a Gaussian moment-generating function to show regular networks are optimal.
Finite-time convergence to anϵ-efficient nash equilibrium in potential games,
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Learning to Coordinate over Networks with Bounded Rationality
Bounded-rational agents on networks reach higher stationary coordination probability when connectivity is uniform, with the probability increasing in rationality parameter beta and the partition function approximable by a Gaussian moment-generating function to show regular networks are optimal.