A Multi-Task-Learning-Based Transfer Deep Reinforcement Learning Design for Autonomic Optical Networks.
Xiaoliang ChenRoberto ProiettiChe-Yu LiuS. J. Ben YooPublished in: IEEE J. Sel. Areas Commun. (2021)
Keyphrases
- learning design
- multi task learning
- optical networks
- transfer learning
- reinforcement learning
- multi task
- learning tasks
- learning experience
- learning analytics
- multiple tasks
- learning activities
- learning processes
- authoring tool
- learning technologies
- learning materials
- gaussian processes
- learning management systems
- learning problems
- multitask learning
- learning resources
- learning algorithm
- e learning
- learning objects
- labeled data
- machine learning
- active learning
- collaborative filtering
- high order
- machine learning algorithms
- learning scenarios
- theoretical analysis
- text mining
- learning models
- semi supervised
- metric learning
- distance learning
- dynamic reconfiguration
- learning systems