Preprint
Jul 2026
Local Global Games and Network Common Learning
Network common learning is introduced, a network analogue of common learning, and it is shown that it is attained when neighboring agents'observations differ by many signals, as on the two-dimensional grid, but fails on networks with informational bottlenecks, such as the line.
Olga Rospuskova, Omer Tamuz, Jake Zhang
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