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What is Astraea: Efficient Learning-based CC about?

Astraea is a new learning-based congestion control (CC) algorithm designed to optimize fairness, convergence speed, and stability in network performance. Utilizing a multi-agent deep reinforcement learning framework, Astraea addresses the shortcomings of existing CC schemes by explicitly incorporating convergence properties into its training process. Experimental results demonstrate that Astraea significantly outperforms traditional TCP and other learning-based approaches in terms of convergence speed and s

Author

4gbpmhx7hx

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EN