NeurIPS2021_emergent_group_communication (7).pdf

We generate 128,000 images as agents' observations using python's matplotlib library Hunter [2007] V ariational autoencoder [Kingma and Welling, 2014] is used to encode the observations. Input is flatted 30,720-dimensional vector (32 by 320 by 3). Both encoder and decoder have one hidden layer with the dimension size being 1,024. The output (communication message) is a 10-dimensional vector. ReLU is used as the activation function.