Dynamic and Effect-Driven Output Service Selection for IoT Environments Using Deep Reinforcement Learning.
Kyeong-Deok BaekIn-Young KoPublished in: IEEE Internet Things J. (2023)
Keyphrases
- service selection
- reinforcement learning
- dynamic environments
- highly dynamic
- service oriented
- web service selection
- web services
- service composition
- web service composition
- learning algorithm
- qos aware
- service discovery
- function approximation
- quality of service
- state space
- model free
- cloud computing
- machine learning