Reinforcement learning for bandwidth estimation and congestion control in real-time communications

no code implementations • 4 Dec 2019 • Joyce Fang, Martin Ellis, Bin Li, Siyao Liu, Yasaman Hosseinkashi, Michael Revow, Albert Sadovnikov, Ziyuan Liu, Peng Cheng, Sachin Ashok, David Zhao, Ross Cutler, Yan Lu, Johannes Gehrke

Bandwidth estimation and congestion control for real-time communications (i. e., audio and video conferencing) remains a difficult problem, despite many years of research.

reinforcement-learning Reinforcement Learning (RL)

On Design of Problem Token Questions in Quality of Experience Surveys

no code implementations • 19 Aug 2018 • Jayant Gupchup, Ebrahim Beyrami, Martin Ellis, Yasaman Hosseinkashi, Sam Johnson, Ross Cutler

Based on 900, 000 calls gathered using a randomized controlled experiment from a live system, we find that the order bias can be significantly reduced by randomizing the display order of tokens.