Routing with Graph Convolutional Networks and Multi-Agent Deep Reinforcement Learning.
Sai Shreyas BhavanasiLorenzo PapponeFlavio EspositoPublished in: NFV-SDN (2022)
Keyphrases
- reinforcement learning
- multi agent
- network topologies
- deep learning
- dynamic routing
- small world
- network structure
- network nodes
- network topology
- graph structure
- wireless ad hoc networks
- community discovery
- learning agents
- ad hoc networks
- multi agent systems
- state space
- graph layout
- random walk
- markov decision processes
- social networks
- reinforcement learning algorithms
- average degree
- weighted graph
- shortest path
- bipartite graph
- machine learning
- routing algorithm
- routing protocol
- fully connected
- switched networks
- graph structures
- network design
- graph theory
- directed graph
- optimal policy
- dynamic programming
- learning algorithm
- packet forwarding
- traffic engineering
- overlapping communities
- unsupervised feature learning
- multi agent environments
- network infrastructure
- edge weights
- network architecture
- function approximation