Model Predictive Mean Field Games for Controlling Multi-Agent Systems
Model Predictive Mean Field Games for Controlling Multi-Agent Systems
When controlling multi-agent systems, the trade-off between performance and scalability is a major challenge. Here, we address this difficulty by using mean field games (MFGs), which is a framework that deduces the macroscopic dynamics describing the density profile of agents from their microscopic dynamics. To effectively use the MFG, we …