World Model-Based Learning for Long-Term Age of Information Minimization in Vehicular Networks

Lingyi Wang, Rashed Shelim, Walid Saad +1

Traditional reinforcement learning (RL)-based learning approaches for wireless networks rely on expensive trial-and-error mechanisms and real-time feedback based on extensive envir…