An adaptive multi-objective multi-task scheduling method by hierarchical deep reinforcement learning.
Jianxiong ZhangBing GuoXuefeng DingDasha HuJun TangKe DuChao TangYuming JiangPublished in: Appl. Soft Comput. (2024)
Keyphrases
- reinforcement learning
- multi objective
- detection method
- support vector machine
- optimization algorithm
- experimental evaluation
- dynamic programming
- similarity measure
- computational cost
- significant improvement
- feature set
- state space
- pairwise
- preprocessing
- classification method
- objective function
- optimization method
- machine learning
- function approximation
- synthetic data
- clustering method
- support vector machine svm
- computational complexity
- optimal solution
- image segmentation
- decision trees