Multi Agent Reinforcement Learning Based Local Routing Strategy to Reduce End-to-End Delays in Segment Routing Networks.
Antonio CianfraniDavide AureliMarco ListantiMarco PolveriniPublished in: INFOCOM Workshops (2023)
Keyphrases
- end to end
- wireless ad hoc networks
- internet protocol
- ad hoc networks
- multi agent reinforcement learning
- high bandwidth
- routing algorithm
- multi hop
- congestion control
- admission control
- multipath
- wireless networks
- routing protocol
- mobile nodes
- shortest path
- differentiated services
- path selection
- artificial intelligence
- application layer
- state space