Deep Reinforcement Learning for Router Selection in Network With Heavy Traffic.
Ruijin DingYadong XuFeifei GaoXuemin ShenWen WuPublished in: IEEE Access (2019)
Keyphrases
- heavy traffic
- queueing networks
- reinforcement learning
- dynamic routing
- steady state
- arrival rate
- asymptotically optimal
- limit theorems
- long run
- peer to peer
- brownian motion
- polling systems
- optimal policy
- markov decision processes
- optimal control
- service systems
- call center
- service rates
- fluid model
- transportation networks
- machine learning
- state space
- special case
- queue length
- response time