MATE: When multi-agent Deep Reinforcement Learning meets Traffic Engineering in multi-domain networks.
Zeyu LuanQing LiYong JiangJingpu DuanRuobin ZhengDingding ChenShaoteng LiuPublished in: Comput. Networks (2024)
Keyphrases
- traffic engineering
- multi domain
- reinforcement learning
- multi agent
- metro ethernet
- cross domain
- heterogeneous networks
- quality of service
- network management
- ip networks
- differentiated services
- atm networks
- data center
- domain specific
- learning algorithm
- network traffic
- multi agent systems
- intelligent agents
- learning process
- social networks
- cost effective
- wireless networks
- qos requirements
- text categorization
- machine learning