Deep Reinforcement Learning for Scheduling in an Edge Computing-Based Industrial Internet of Things.
Jingjing WuGuoliang ZhangJiaqi NieYuhuai PengYunhou ZhangPublished in: Wirel. Commun. Mob. Comput. (2021)
Keyphrases
- reinforcement learning
- scheduling problem
- key technologies
- industrial applications
- edge detection
- markov decision processes
- resource allocation
- model free
- reinforcement learning algorithms
- function approximation
- flexible manufacturing systems
- machine learning
- scheduling algorithm
- optimal control
- multi agent
- image processing
- industrial environment
- deep learning
- round robin
- physical world
- parallel machines
- resource constraints
- edge information
- optimal policy
- dynamic programming
- image segmentation
- genetic algorithm