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The increasingly obvious advances in live video services introduce the urgent need for enhancing network transmission performance, especially by designing an efficient congestion control (CC) scheme. Unfortunately, the previous rule-based CC methods cannot adapt well to various network conditions and statuses while machine-learning-powered CC paradigms always suffer from non-trivial system overhead and unstable effects.