A Survey of Freshness-Aware Wireless Networking with Reinforcement Learning

This article presents a survey on the application of reinforcement learning in freshness-aware wireless networking. It likely explores how RL can be used to optimize network performance by considering the age of information. The focus is on research, likely analyzing existing literature and identifying potential areas for future work.