A Distributed Reinforcement Learning Approach to In-network Congestion Control.
Tianle MaiHaipeng YaoXing ZhangZehui XiongDusit NiyatoPublished in: ICCC (2020)
Keyphrases
- image quality
- congestion control
- end to end
- reinforcement learning
- node failures
- congestion avoidance
- peer to peer
- packet loss
- computer networks
- transmission rate
- quality of service
- window size
- network bandwidth
- rate control
- distributed systems
- network congestion
- differentiated services
- distributed environment
- ad hoc networks
- network resources
- steady state
- response time
- optical flow