A Model Selection Approach for Corruption Robust Reinforcement Learning.
Chen-Yu WeiChristoph DannJulian ZimmertPublished in: ALT (2022)
Keyphrases
- model selection
- reinforcement learning
- cross validation
- machine learning
- hyperparameters
- sample size
- meta learning
- regression model
- parameter estimation
- statistical learning
- mixture model
- bayesian learning
- motion segmentation
- gaussian process
- feature selection
- model selection criteria
- parameter determination
- statistical inference
- generalization error
- marginal likelihood
- information criterion
- decision trees
- data mining
- learning algorithm
- state space
- bayesian methods
- selection criterion
- error estimation
- automatic model selection
- variable selection
- leave one out cross validation
- supervised learning
- hypothesis tests
- bayesian networks