Task Offloading with Temporal Awareness in Heterogeneous Cloud–Edge–Ground Systems
This work introduces KAT-MAPPO, a Kolmogorov–Arnold Transformer-enhanced Multi-Agent Proximal Policy Optimization scheme that significantly outperforms existing baselines and highlights the promise of reinforcement learning considering temporal dynamics for efficient offloading in heterogeneous CEG systems.