Congestion Control in SDN-Based Networks via Multi-Task Deep Reinforcement Learning.
Kai LeiYuzhi LiangWei LiPublished in: IEEE Netw. (2020)
Keyphrases
- multi task
- congestion control
- reinforcement learning
- end to end
- multi task learning
- transfer learning
- learning tasks
- differentiated services
- learning problems
- multiple tasks
- multi class
- packet loss
- feature selection
- quality of service
- sparse learning
- gaussian processes
- window size
- learning algorithm
- rate control
- machine learning
- decision trees
- network bandwidth
- web services
- supervised learning
- pairwise
- information gain
- feature space
- multiscale
- data sets