Multi-task Deep Reinforcement Learning for IoT Service Selection.
Hiroki MatsuokaAhmed MoustafaPublished in: ICAART (3) (2022)
Keyphrases
- multi task
- service selection
- reinforcement learning
- transfer learning
- learning problems
- web service selection
- multi task learning
- service composition
- learning tasks
- web service composition
- service oriented
- quality of service
- web services
- multitask learning
- service discovery
- multiple tasks
- multi class
- gaussian processes
- feature selection
- learning algorithm
- sparse learning
- state space
- machine learning
- learning experience
- supervised learning
- real time
- naive bayes
- theoretical analysis
- description language
- distributed systems
- training data