Preprint
Aug 2026
Multi-Agent Transformer for Queue-Level XR Traffic Scheduling in TSN Networks
The multi-agent transformer (MAT) is adopted to model inter-queue dependencies via attention over agents' observations and actions, enabling implicit coordination across heterogeneous co-located XR applications and results show that the proposed method outperforms baselines.
Marcos Carvalho, Fatih Temiz, Shavbo Salehi et al.
· 0 citations