A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization.
Giorgio StampaMarta AriasDavid Sanchez-CharlesVictor Muntés-MuleroAlbert CabellosPublished in: CoRR (2017)
Keyphrases
- reinforcement learning
- logistics distribution
- optimization algorithm
- software design
- optimization process
- software development
- software systems
- vehicle routing
- genetic algorithm
- user interface
- software tools
- routing algorithm
- global optimization
- ad hoc networks
- network topology
- function approximation
- evolutionary algorithm
- computer systems
- software architecture
- routing protocol
- high speed
- vehicle routing problem
- software components
- machine learning
- optimal policy
- dynamic programming
- multi agent
- learning algorithm
- optimization problems