Multiagent Deep Reinforcement Learning for Cost- and Delay-Sensitive Virtual Network Function Placement and Routing.
Shaoyang WangChau YuenWei NiYong Liang GuanTiejun LvPublished in: IEEE Trans. Commun. (2022)
Keyphrases
- multi agent
- reinforcement learning
- routing decisions
- network reliability
- transmission delay
- network topologies
- link failure
- path length
- routing table
- multipath routing
- ad hoc networks
- packet switching
- multiagent systems
- traffic load
- qos parameters
- wireless ad hoc networks
- multicast tree
- dynamic routing
- network model
- network topology
- routing algorithm
- network congestion
- network communication
- multiple paths
- qos routing
- peer to peer
- bandwidth requirements
- quality of service
- communication cost
- communication networks
- network traffic
- network structure
- network layer
- state space
- learning algorithm
- multi agent systems
- routing protocol
- routing overhead
- inter domain
- learning agents
- function approximators
- optimal policy
- traffic engineering
- destination node
- wireless mesh networks
- route discovery
- routing problem