CFR-RL: Traffic Engineering With Reinforcement Learning in SDN.
Junjie ZhangMinghao YeZehua GuoChen-Yu YenH. Jonathan ChaoPublished in: IEEE J. Sel. Areas Commun. (2020)
Keyphrases
- reinforcement learning
- traffic engineering
- function approximation
- quality of service
- network management
- reinforcement learning algorithms
- state space
- model free
- network traffic
- ip networks
- temporal difference
- data center
- machine learning
- markov decision processes
- rl algorithms
- wireless networks
- optimal policy
- learning algorithm
- qos requirements
- end to end delay
- metro ethernet
- atm networks
- partially observable domains
- multi agent
- function approximators
- resource management
- optimal control
- supervised learning
- database systems
- real time