Edge-Enabled Two-Stage Scheduling Based on Deep Reinforcement Learning for Internet of Everything.
Xiaokang ZhouWei LiangKe YanWeimin LiKevin I-Kai WangJianhua MaQun JinPublished in: IEEE Internet Things J. (2023)
Keyphrases
- reinforcement learning
- scheduling problem
- machine learning
- resource allocation
- function approximation
- internet users
- markov decision processes
- scheduling algorithm
- information services
- parallel machines
- edge information
- web technologies
- robotic control
- policy search
- round robin
- world wide
- weighted graph
- optimal policy
- learning algorithm