Model Selection in Batch Policy Optimization.
Jonathan N. LeeGeorge TuckerOfir NachumBo DaiPublished in: CoRR (2021)
Keyphrases
- model selection
- cross validation
- hyperparameters
- sample size
- bayesian learning
- machine learning
- parameter estimation
- regression model
- motion segmentation
- statistical learning
- mixture model
- error estimation
- selection criterion
- meta learning
- feature selection
- generalization error
- variable selection
- model selection criteria
- bayesian methods
- gaussian process
- information criterion
- marginal likelihood
- statistical inference
- generalization bounds
- bayesian information criterion
- leave one out cross validation
- grid search
- parameter determination