an implementation of CommNet, arxiv link: Learning Multiagent Communication with Backpropagation

What's CommNet

Many tasks in AI require the collaboration of multiple agents. Typically, the communication protocol between agents is manually specified and not altered during training. CommNet is a simple neural model, that uses continuous communication for fully cooperative tasks. The model consists of multiple agents and the communication between them is learned alongside their policy.

Demonstrating

demonstrating the ability of the agents to learn to communicate amongst themselves, yielding improved performance over non-communicative agents and baselines. In some cases, it is possible to interpret the language devised by the agents, revealing simple but effective strategies for solving the task at hand.

Structure

Tasks

1. lever Pulling game
2. Traffic Junction

Plot of Loss (lever pulling game)

Plot of reward and baseline