No More Pesky Hyperparameters: Offline Hyperparameter Tuning for RL.
Han WangArchit SakhadeoAdam M. WhiteJames BellVincent LiuXutong ZhaoPuer LiuTadashi KozunoAlona FysheMartha WhitePublished in: Trans. Mach. Learn. Res. (2022)
Keyphrases
- hyperparameters
- model selection
- cross validation
- parameter settings
- bayesian inference
- closed form
- reinforcement learning
- random sampling
- bayesian framework
- gaussian process
- support vector
- maximum likelihood
- prior information
- sample size
- em algorithm
- maximum a posteriori
- gaussian processes
- noise level
- incremental learning
- regularization parameter
- parameter optimization
- grid search
- parameter space
- missing values
- prior knowledge
- incomplete data
- generative model
- state space
- feature selection
- data mining
- latent variables
- genetic algorithm ga
- markov random field
- objective function
- machine learning