LLM-ABR: Designing Adaptive Bitrate Algorithms via Large Language Models

no code implementations • 2 Apr 2024 • Zhiyuan He, Aashish Gottipati, Lili Qiu, Francis Y. Yan, Xufang Luo, Kenuo Xu, Yuqing Yang

We present LLM-ABR, the first system that utilizes the generative capabilities of large language models (LLMs) to autonomously design adaptive bitrate (ABR) algorithms tailored for diverse network characteristics.

reinforcement-learning

Real-time Bandwidth Estimation from Offline Expert Demonstrations

no code implementations • 23 Sep 2023 • Aashish Gottipati, Sami Khairy, Gabriel Mittag, Vishak Gopal, Ross Cutler

In this work, we tackle the problem of bandwidth estimation (BWE) for real-time communication systems; however, in contrast to previous works, we leverage the vast efforts of prior heuristic-based BWE methods and synergize these approaches with deep learning-based techniques.