DeepCQ+: Robust and Scalable Routing with Multi-Agent Deep Reinforcement Learning for Highly Dynamic Networks.
Saeed KavianiBo RyuEjaz AhmedKevin A. LarsonAnh LeAlex YahjaJae H. KimPublished in: CoRR (2021)
Keyphrases
- highly dynamic
- reinforcement learning
- multi agent
- mobile ad hoc networks
- service oriented
- multicast routing
- network nodes
- agent based simulations
- state space
- network topologies
- markov decision processes
- routing algorithm
- ad hoc networks
- single agent
- wireless ad hoc networks
- function approximation
- path selection
- multi agent systems
- cooperative
- network infrastructure
- learning agents
- dynamic routing
- machine learning
- traffic signal control
- reinforcement learning algorithms
- model free
- network topology
- computer networks
- network structure
- routing protocol
- shortest path
- anomaly detection
- metadata
- social networks