Using Deep Q-Learning to Control Optimization Hyperparameters.
Samantha HansenPublished in: CoRR (2016)
Keyphrases
- hyperparameters
- cross validation
- model selection
- bayesian framework
- bayesian inference
- reinforcement learning
- gaussian processes
- gaussian process
- grid search
- closed form
- maximum a posteriori
- prior information
- noise level
- em algorithm
- sample size
- random sampling
- support vector
- incomplete data
- learning algorithm
- parameter optimization
- missing values
- incremental learning
- data sets
- fitness function
- generative model
- maximum likelihood
- dynamic programming
- np hard
- machine learning