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