Model Selection in Reinforcement Learning with General Function Approximations.
Avishek GhoshSayak Ray ChowdhuryPublished in: ECML/PKDD (4) (2022)
Keyphrases
- model selection
- cross validation
- reinforcement learning
- hyperparameters
- error estimation
- bayesian learning
- machine learning
- statistical inference
- regression model
- parameter estimation
- sample size
- statistical learning
- feature selection
- model selection criteria
- motion segmentation
- meta learning
- state space
- variable selection
- leave one out cross validation
- selection criterion
- automatic model selection
- parameter determination
- gaussian process
- mixture model
- learning algorithm
- generalization error
- information criterion
- marginal likelihood
- bayesian model selection
- data mining
- bayesian information criterion
- decision trees
- objective function