PAC-Bayesian Model Selection for Reinforcement Learning.
Mahdi Milani FardJoelle PineauPublished in: NIPS (2010)
Keyphrases
- model selection
- pac bayesian
- generalization bounds
- reinforcement learning
- cross validation
- machine learning
- distribution free
- regression model
- hyperparameters
- sample size
- statistical learning
- parameter estimation
- state space
- feature selection
- mixture model
- unsupervised learning
- gaussian process
- learning algorithm
- model selection criteria
- generalization error
- data dependent
- learning problems
- supervised learning
- lower bound
- feature space
- kernel matrix
- decision trees