Emergent Quantized Communication

Understand

The field of emergent communication aims to understand the characteristics of communication as it emerges from artificial agents solving tasks that require information exchange.

• Communication with discrete messages is considered a desired characteristic, for both scientific and applied reasons.
• However, training a multi-agent system with discrete communication is not straightforward, requiring either reinforcement learning algorithms or relaxing the discreteness requirement via a continuous approximation such as the Gumbel-softmax.
• Both these solutions result in poor performance compared to fully continuous communication.