Model Selection in Reinforcement Learning with General Function Approximations.
Avishek GhoshSayak Ray ChowdhuryPublished in: CoRR (2022)
Keyphrases
- model selection
- cross validation
- reinforcement learning
- hyperparameters
- parameter estimation
- sample size
- bayesian learning
- machine learning
- mixture model
- marginal likelihood
- error estimation
- statistical learning
- closed form
- motion segmentation
- feature selection
- meta learning
- variable selection
- statistical inference
- model selection criteria
- gaussian process
- leave one out cross validation
- transfer learning
- parameter determination
- prior information
- automatic model selection