A reinforcement learning approach for widest path routing in software-defined networks.
Chih-Heng KeYi-Hao TuYi-Wei MaPublished in: ICT Express (2023)
Keyphrases
- reinforcement learning
- path selection
- shortest path
- network topologies
- link failure
- traffic engineering
- software development
- network topology
- social networks
- wireless ad hoc networks
- switched networks
- routing algorithm
- dynamic routing
- destination node
- function approximation
- network design
- packet transmission
- learning algorithm
- network structure
- software systems
- mobile robot
- source code
- multicast tree
- machine learning
- web services
- multi agent
- multiple paths
- learning process
- test cases
- ad hoc networks
- routing protocol
- software architecture
- model free
- routing problem
- computer networks