Oracle Inequalities for Model Selection in Offline Reinforcement Learning.
Jonathan N. LeeGeorge TuckerOfir NachumBo DaiEmma BrunskillPublished in: CoRR (2022)
Keyphrases
- model selection
- reinforcement learning
- cross validation
- machine learning
- hyperparameters
- bayesian learning
- parameter estimation
- mixture model
- sample size
- statistical learning
- selection criterion
- regression model
- statistical inference
- feature selection
- meta learning
- automatic model selection
- error estimation
- generalization error
- model selection criteria
- state space
- variable selection
- gaussian process
- motion segmentation
- marginal likelihood
- generalization bounds
- learning algorithm
- probabilistic model
- transfer learning
- supervised learning
- parameter determination
- real world