Model Selection for Offline Reinforcement Learning: Practical Considerations for Healthcare Settings.
Shengpu TangJenna WiensPublished in: CoRR (2021)
Keyphrases
- gaussian mixture model
- model selection
- mixture model
- reinforcement learning
- cross validation
- machine learning
- hyperparameters
- parameter estimation
- regression model
- bayesian learning
- feature selection
- motion segmentation
- sample size
- variable selection
- marginal likelihood
- state space
- information criterion
- statistical inference
- statistical learning
- meta learning
- generalization error
- selection criterion
- gaussian process
- model selection criteria
- bayesian methods
- decision trees
- similarity measure
- posterior distribution
- error estimation
- bayesian information criterion
- leave one out cross validation
- data sets
- learning algorithm
- upper bound