Cooperative Multi-Agent Deep Reinforcement Learning for Dynamic Virtual Network Allocation.
Akito SuzukiRyoichi KawaharaShigeaki HaradaPublished in: ICCCN (2021)
Keyphrases
- reinforcement learning
- cooperative multi agent
- dynamic networks
- network traffic
- peer to peer
- network model
- network structure
- function approximation
- neural network
- limited capacity
- allocation scheme
- augmented reality
- network architecture
- network management
- model free
- network resources
- virtual world
- dynamic environments
- state space
- transfer learning
- resource allocation
- communication networks
- expert systems
- allocation strategy
- optimal resource allocation
- dynamic programming