An intelligent scheme for congestion control: When active queue management meets deep reinforcement learning

Human-level control through deep reinforcement learning

Volodymyr Mnih, Koray Kavukcuoglu, David Silver et al. · Nature · 2015 · 30K citations

Computing, Computer Science, Artificial Intelligence +8

Diagnosing Non-Intermittent Anomalies in Reinforcement Learning Policy Executions (Short Paper)

arXiv (Cornell University) · 2017 · 11.3K citations · Full text

Computing, Computer Science, Algorithms +16

Random early detection gateways for congestion avoidance

Sally Floyd, Van Jacobson · IEEE/ACM Transactions on Networking · 1993 · 6.3K citations

Computing, Computer Science, Computer Systems +17

Fluid-based analysis of a network of AQM routers supporting TCP flows with an application to RED

Vishal Misra, Weibo Gong, Don Towsley · ACM SIGCOMM Computer Communication Review · 2000 · 1.3K citations · Full text

Computing, Computer Science, Computer Systems +14

On designing improved controllers for AQM routers supporting TCP flows

C.V. Hollot, Vishal Misra, Don Towsley et al. · 2002 · 959 citations · Full text

Business, High-performance Computing, Computer Networks +16