OpenNetLab: An Open Platform for RL-based Congestion Control for Real-Time Communication

Channel:
Microsoft Research
Subscribers:
343,000
Published on ● Video Link: https://www.youtube.com/watch?v=Jv7d4WzP6wU


Duration: 19:28
133 views
3

Research talk
Byung-Gon Chun, Seoul National University

With the importance of real-time communications (RTC), much attention is being paid to designing congestion control (CC) algorithms for RTC to achieve high Quality of Experience. In this talk, we introduce a project on OpenNetLab that provides system-level support for training and testing Reinforcement Learning(RL)-based CC algorithms for RTC. OpenNetLab supports diverse environments ranging from simulators to real-world testbeds, in which one can design and experiment with her RL-based CC algorithms by exploring tradeoffs in the design space. Early use cases demonstrate that OpenNetLab facilitated coming up with new RL-based CC algorithms that outperform widely used rule-based baselines.

Learn more about the Next Generation Networking and its platform Workshop: https://www.microsoft.com/en-us/research/event/next-generation-networking-and-its-platform-workshop/

This workshop was part of the Microsoft Research Summit 2022: https://www.microsoft.com/en-us/research/event/microsoft-research-summit-2022/



Other Videos By Microsoft Research


2022-12-06Towards Trustworthy Recommender Systems: From Shallow Models to Deep Models to Large Models
2022-12-06Development of a Game-Based Assessment to Measure Creativity
2022-12-06Interpretability, Responsibility and Controllability of Human Behaviors
2022-12-06On the Adversarial Robustness of Deep Learning
2022-12-06The Long March Towards AI Fairness
2022-12-06Towards Human Value Based Natural Language Processing (NLP)
2022-12-06Responsible AI Research at Microsoft Research Asia
2022-12-06Responsible AI Workshop | Opening Remarks
2022-12-06Low-latency, Real-time Insights from Space
2022-12-06Next Generation Networking and its Platform Workshop | Panel Discussion
2022-12-06OpenNetLab: An Open Platform for RL-based Congestion Control for Real-Time Communication
2022-12-06Enhance Networking Education with OpenNetLab
2022-12-06Coping with High Mobility for Beyond 5G Cellular Networks
2022-12-06Reconfigurable Metamaterial Surfaces for mmWave and Satellite Networks
2022-12-06A Cloud-based Telecommunications Infrastructure: Business Opportunities & Research Challenges
2022-12-06Next Generation Networking and its Platform Workshop | Opening Remarks
2022-12-01Azure Container for PyTorch: An optimized container for large scale distributed training workloads
2022-12-01Lightning Talk: LATTE: LAnguage Trajectory TransformEr
2022-12-01Lightning Talk: Deep Causal Learning
2022-12-01Lightning Talk: A deep learning approach to recover conditional independence graphs
2022-12-01Demo: 3DB: A Framework for Debugging Computer Vision Models