CFR-RL: Traffic Engineering with Reinforcement Learning in SDN.
Junjie ZhangMinghao YeZehua GuoChen-Yu YenH. Jonathan ChaoPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- traffic engineering
- function approximation
- network management
- ip networks
- quality of service
- data center
- reinforcement learning algorithms
- rl algorithms
- state space
- learning algorithm
- network traffic
- markov decision processes
- model free
- temporal difference
- optimal policy
- machine learning
- atm networks
- function approximators
- metro ethernet
- optimal control
- multi agent
- action space
- wireless networks
- partially observable domains
- qos requirements
- power consumption
- end to end delay
- dynamic programming