No More Pesky Hyperparameters: Offline Hyperparameter Tuning for RL.
Han WangArchit SakhadeoAdam WhiteJames BellVincent LiuXutong ZhaoPuer LiuTadashi KozunoAlona FysheMartha WhitePublished in: CoRR (2022)
Keyphrases
- gaussian process regression
- hyperparameters
- gaussian process
- gaussian processes
- model selection
- parameter settings
- cross validation
- closed form
- bayesian inference
- bayesian framework
- reinforcement learning
- support vector
- random sampling
- em algorithm
- noise level
- prior information
- maximum a posteriori
- maximum likelihood
- incremental learning
- sample size
- incomplete data
- grid search
- parameter optimization
- missing values
- machine learning
- regularization parameter
- parameter space
- regression model
- prior knowledge
- learning algorithm
- noisy images
- image reconstruction
- energy function
- expectation maximization
- markov random field
- probabilistic model
- high dimensional
- multiscale
- image processing