Developmentally motivated emergence of compositional communication via template transfer

Understand

This paper explores a novel approach to achieving emergent compositional communication in multi-agent systems.

• We propose a training regime implementing template transfer, the idea of carrying over learned biases across contexts.
• In our method, a sender-receiver pair is first trained with disentangled loss functions and then the receiver is transferred to train a new sender with a standard loss.
• Unlike other methods (e.g.