Packet Routing Against Network Congestion: A Deep Multi-agent Reinforcement Learning Approach.
Ruijin DingYuwen YangJun LiuHongyan LiFeifei GaoPublished in: ICNC (2020)
Keyphrases
- network congestion
- multi agent reinforcement learning
- network bandwidth
- intermediate nodes
- packet loss
- network resources
- application layer
- multi agent
- congestion control
- routing protocol
- reinforcement learning
- learning agents
- rate adaptation
- routing algorithm
- multi agent learning
- network layer
- multi agent systems
- stochastic games
- mobile ad hoc networks
- end to end
- learning agent
- real time
- network topology
- wireless link
- source node
- computing resources
- distributed control
- energy consumption
- shortest path
- cooperative