Online Reinforcement Learning From Existing Heuristics for TCP Congestion Control
Mutant, an online reinforcement learning algorithm for congestion control that adapts to the behavior of the best-performing schemes, outperforming them in most network conditions is proposed, making it robust under diverse and dynamic network conditions.