Model Selection in Batch Policy Optimization.
Jonathan LeeGeorge TuckerOfir NachumBo DaiPublished in: ICML (2022)
Keyphrases
- model selection
- cross validation
- sample size
- hyperparameters
- bayesian learning
- mixture model
- regression model
- error estimation
- parameter estimation
- statistical learning
- machine learning
- statistical inference
- bayesian methods
- model selection criteria
- feature selection
- selection criterion
- meta learning
- gaussian process
- variable selection
- motion segmentation
- leave one out cross validation
- marginal likelihood
- grid search
- parameter determination
- generalization error
- probabilistic model
- image segmentation
- automatic model selection