Equivariant Multi-agent Reinforcement Learning for Multimodal Vehicle-to-Infrastructure Systems
arXiv:2604.06914v1 Announce Type: new
Abstract: In this paper, we study a vehicle-to-infrastructure (V2I) system where distributed base stations (BSs) acting as road-side units (RSUs) collect multimodal (wireless and visual) data from moving vehicles….