Achieving Fair and Efficient Learning-based Congestion Control

The author presents Astraea, a learning-based congestion control system that optimizes fairness, convergence speed, and stability. By utilizing multi-agent deep reinforcement learning, Astraea addresses the limitations of existing solutions.