Priority-Driven Multi-Agent Control and Communication
Learning decentralized control and communication policies under limited bandwidth.
This project studies joint control and communication in decentralized multi-agent systems.
Instead of treating communication as an independent discrete decision, the method learns a continuous communication priority, allowing agents with the highest priorities to communicate when bandwidth is limited.
The work was accepted to the 23rd IFAC World Congress 2026.