深度增强学习在数据中心网络中应用 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) Neural Packet Classification HQTimer: A Hybrid Q-Learning-Based Timeout Mechanism in Software-Defined Networks Q-placement: Reinforcement-Learning-Based Service Placement in Software-Defined Networks 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 Transport in Datacenter FRIENDS WY 简书·BY Apple Apple Developer
