Combining Automated Optimisation of Hyperparameters and Reward Shape.
Julian DierkesEmma CramerHolger H. HoosSebastian TrimpePublished in: CoRR (2024)
Keyphrases
- hyperparameters
- prior information
- model selection
- cross validation
- closed form
- bayesian inference
- random sampling
- support vector
- parameter space
- em algorithm
- gaussian processes
- bayesian framework
- gaussian process
- maximum a posteriori
- incremental learning
- maximum likelihood
- noise level
- regularization parameter
- sample size
- reinforcement learning
- incomplete data
- missing values
- expectation maximization
- active learning
- probabilistic model
- image processing
- machine learning