Learning-based congestion control acquires available bandwidth with low latency in fixed conditions and resists non-congestive loss, yet fairness and adaptation fail to generalize when bandwidth or latency vary over time.
Deep reinforcement learning for mobile edge caching: Review, new features, and open issues,
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Learning-Based vs Human-Derived Congestion Control: An In-Depth Experimental Study
Learning-based congestion control acquires available bandwidth with low latency in fixed conditions and resists non-congestive loss, yet fairness and adaptation fail to generalize when bandwidth or latency vary over time.