A Reinforcement Learning Approach to Age of Information in Multi-User Networks

no code implementations • 1 Jun 2018 • Elif Tuğçe Ceran, Deniz Gündüz, András György

Scheduling the transmission of time-sensitive data to multiple users over error-prone communication channels is studied with the goal of minimizing the long-term average age of information (AoI) at the users under a constraint on the average number of transmissions at the source node.

reinforcement-learning Reinforcement Learning (RL) +1