Classic Meets Modern: a Pragmatic Learning-Based Congestion Control for the Internet

no code implementations • SIGCOMM 2020 • Soheil Abbasloo, Chen-Yu Yen, H. Jonathan Chao

These days, taking the revolutionary approach of using clean-slate learning-based designs to completely replace the classic congestion control schemes for the Internet is gaining popularity.

CFR-RL: Traffic Engineering with Reinforcement Learning in SDN

1 code implementation • 24 Apr 2020 • Jun-Jie Zhang, Minghao Ye, Zehua Guo, Chen-Yu Yen, H. Jonathan Chao

In this paper, we propose CFR-RL (Critical Flow Rerouting-Reinforcement Learning), a Reinforcement Learning-based scheme that learns a policy to select critical flows for each given traffic matrix automatically.

Reinforcement Learning (RL)