Qsmix: Q-learning-based task scheduling approach for mixed-critical applications on heterogeneous multi-cores.
Fatemeh AfshariAthena AbdiPublished in: J. Supercomput. (2024)
Keyphrases
- reinforcement learning
- multi agent
- cooperative
- scheduling algorithm
- grid environment
- learning algorithm
- function approximation
- bi level
- stochastic approximation
- real world
- cloud computing environment
- multi source
- multi core architecture
- data sets
- potential field
- temporal difference learning
- action selection
- heterogeneous data
- computing environments
- sufficient conditions
- neural network