Aridor, Guy; da Silveira, Rava Azeredo; Woodford, Michael - 2024
We analyze a coordination game with information-constrained players. The players' actions are based on a noisy compressed representation of the game's payoffs in a particular case, where the compressed representation is a latent state learned by a variational autoencoder (VAE). Our generalized...