Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings.
Shengpu TangJenna WiensPublished in: MLHC (2021)
Keyphrases
- model selection
- reinforcement learning
- cross validation
- machine learning
- hyperparameters
- statistical learning
- parameter estimation
- sample size
- regression model
- motion segmentation
- generalization error
- mixture model
- feature selection
- meta learning
- variable selection
- bayesian learning
- model selection criteria
- state space
- marginal likelihood
- learning algorithm
- statistical inference
- selection criterion
- parameter determination
- bayesian information criterion
- gaussian process
- supervised learning
- error estimation
- bayesian methods
- training data
- posterior distribution
- data mining
- gaussian mixture model
- support vector machine
- least squares
- automatic model selection