Symbolic Distillation for Learned TCP Congestion Control

1 code implementation • 24 Oct 2022 • S P Sharan, Wenqing Zheng, Kuo-Feng Hsu, Jiarong Xing, Ang Chen, Zhangyang Wang

At the core of our proposal is a novel symbolic branching algorithm that enables the rule to be aware of the context in terms of various network conditions, eventually converting the NN policy into a symbolic tree.

Reinforcement Learning (RL)