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Lorenzo Pappone

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Open access 2026

Online Reinforcement Learning From Existing Heuristics for TCP Congestion Control

Avoiding network bottlenecks while maximizing network utilization is paramount to supporting modern networked applications. Traditional congestion control protocols like Cubic, BBR, and TCP Vegas have demonstrated efficacy within specific network conditions. However, years of research on transport protocols have shown...

Lorenzo Pappone, Alessio Sacco, Flavio Esposito · 0 citations

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