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
- Leaver Pulling game
- Traffic Junction
Plot of Loss (leaver pulling game)
Plot of reward and baseline
