Our paper "Asynchronous Fractional Multi-Agent Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing" is accepted by IEEE/ACM Transactions on Networking

We are glad to share that our paper "Asynchronous Fractional Multi-Agent Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing" has been accepted by the IEEE/ACM Transactions on Networking (ToN).

The paper develops asynchronous, fractional multi-agent deep reinforcement learning to minimize the age of information in mobile edge computing, coordinating multiple agents that make decisions at different update rates.