FORLORN: A Framework for Comparing Offline Methods and Reinforcement Learning for Optimization of RAN Parameters.
Vegard EdvardsenGard SpreemannJeriek Van den AbeelePublished in: Q2SWinet (2022)
Keyphrases
- reinforcement learning
- optimization methods
- real time
- neural network
- learning process
- significant improvement
- main contribution
- fine tuning
- control problems
- parameter settings
- sensitivity analysis
- statistical methods
- optimization method
- machine learning methods
- benchmark datasets
- machine learning algorithms
- parameter estimation
- empirical studies
- computational cost
- dynamic programming
- machine learning