# Emergence of compositional language in communication through noisy channel

In this paper, we investigate how communication through a noisy channel can lead to the emergence of compositional language. Our approach is $\mbox{end-to-end}$, allows for different inductive biases on the agents’ architecture, and trains without periodical resets of the networks’ weights. This relaxes some of the assumptions in recently developed methods. The impact on the structure of the resulting language is shown in the context of signaling games. We also develop a new metric for measuring degree of compositionality.

PDF Abstract

## Code Add Remove Mark official

No code implementations yet. Submit your code now

## Datasets

Add Datasets introduced or used in this paper

## Results from the Paper Add Remove

Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.