深度增强学习在数据中心网络中应用 Keep Updating Classic Meets Modern: a Pragmatic Learning-Based Congestion Control for the Internet (SIGCOMM 2020) Server-Driven Video Streaming for Deep Learning Inference (SIGCOMM 2020) Neural Packet Classification (SIGCOMM 2019) Learning Scheduling Algorithms for Data Processing Clusters (SIGCOMM 2019) AuTO：Scaling Deep Reinforcement Learning for Datacenter-Scale Automatic Traffic Optimization (SIGCOMM 2018) Neural Adaptive Video Streaming with Pensieve (SIGCOMM 2017) Resource Management with Deep Reinforcement Learning (Hotnets 2016) Reducing Web Latency through Dynamically Setting TCP Initial Window with Reinforcement Learning Previous Useful links Next Cloud Monitoring IMC 2018 CATALOG FEATURED TAGS Measurement in Datacenter TCP Performance Diagnosis Flow Scheduling Machine Learning Network Troubleshooting Programmable Switches Congestion Control Useful links Deep Reinforcement Learning Transport in Datacenter Key-value Store Load Balancing Distributed Systems OS Scheduling microsecond-scale
