Online Model Selection for Reinforcement Learning with Function Approximation.
Jonathan N. LeeAldo PacchianoVidya MuthukumarWeihao KongEmma BrunskillPublished in: AISTATS (2021)
Keyphrases
- function approximation
- model selection
- reinforcement learning
- cross validation
- temporal difference
- machine learning
- temporal difference learning
- function approximators
- sample size
- regression model
- model free
- radial basis function
- feature selection
- statistical inference
- learning tasks
- model selection criteria
- learning process
- selection criterion
- gaussian process
- reinforcement learning algorithms
- exploration exploitation tradeoff
- state space
- action selection
- text classification
- unsupervised learning
- markov decision processes
- probabilistic model
- evaluation function
- feature space
- policy gradient
- policy search
- learning problems