Towards autonomous reinforcement learning: Automatic setting of hyper-parameters using Bayesian optimization.
Juan Cruz BarsceJorge PalombariniErnesto C. MartínezPublished in: CLEI (2017)
Keyphrases
- hyperparameters
- bayesian inference
- reinforcement learning
- posterior distribution
- model selection
- bayesian methods
- cross validation
- maximum likelihood
- conjugate priors
- parameter optimization
- closed form
- grid search
- variational bayes
- em algorithm
- gaussian process
- bayesian framework
- gaussian processes
- random sampling
- prior information
- support vector
- sample size
- bayesian networks
- noise level
- maximum a posteriori
- bayesian learning
- machine learning
- incomplete data
- missing values
- parameter estimation
- expectation maximization
- probability distribution
- decision trees