Towards Autonomous Reinforcement Learning: Automatic Setting of Hyper-parameters using Bayesian Optimization.
Juan Cruz BarsceJorge A. PalombariniErnesto C. MartínezPublished in: CoRR (2018)
Keyphrases
- hyperparameters
- posterior distribution
- reinforcement learning
- bayesian inference
- maximum likelihood
- bayesian methods
- parameter optimization
- conjugate priors
- cross validation
- model selection
- closed form
- gaussian processes
- support vector
- bayesian framework
- random sampling
- noise level
- variational bayes
- gaussian process
- sample size
- grid search
- em algorithm
- incremental learning
- maximum a posteriori
- prior information
- probabilistic model
- bayesian learning
- machine learning
- parameter estimation
- active learning
- state space
- incomplete data
- supervised learning
- latent variables