A Model Selection Approach for Corruption Robust Reinforcement Learning.
Chen-Yu WeiChristoph DannJulian ZimmertPublished in: CoRR (2021)
Keyphrases
- model selection
- reinforcement learning
- cross validation
- machine learning
- regression model
- parameter estimation
- bayesian learning
- statistical learning
- sample size
- hyperparameters
- feature selection
- meta learning
- mixture model
- error estimation
- model selection criteria
- information criterion
- generalization error
- statistical inference
- selection criterion
- parameter determination
- motion segmentation
- generalization bounds
- transfer learning
- bayesian information criterion
- marginal likelihood
- learning algorithm
- hypothesis testing
- leave one out cross validation
- upper bound
- decision trees