Adaptive task scheduling in IoT using reinforcement learning.
Mohammad Khalid PanditRoohie Naaz MirMohammad Ahsan ChishtiPublished in: Int. J. Intell. Comput. Cybern. (2020)
Keyphrases
- reinforcement learning
- function approximation
- management system
- learning algorithm
- learning process
- computing systems
- data sets
- markov decision processes
- multi agent reinforcement learning
- function approximators
- temporal difference
- adaptive control
- grid computing
- location information
- scheduling algorithm
- dynamical systems
- computer systems
- least squares
- machine learning
- neural network