Effect of Hyperparameters of Reinforcement Learning in Blood Glucose Control.
Lehel Dénes-FazakasMáté SiketLászló SzilágyiGyörgy EignerLevente KovácsPublished in: SMC (2023)
Keyphrases
- hyperparameters
- reinforcement learning
- model selection
- cross validation
- blood glucose
- closed form
- em algorithm
- prior information
- blood pressure
- random sampling
- bayesian framework
- gaussian processes
- incomplete data
- bayesian inference
- maximum a posteriori
- noise level
- maximum likelihood
- state space
- learning algorithm
- learning process
- parameter estimation
- support vector
- dimensionality reduction
- diabetes mellitus
- training data