Investigating the Effects of Hyperparameters in Quantum-Enhanced Deep Reinforcement Learning.
Getahun Fikadu TilayeAmit PandeyPublished in: Quantum Eng. (2023)
Keyphrases
- hyperparameters
- reinforcement learning
- model selection
- cross validation
- bayesian inference
- closed form
- support vector
- random sampling
- bayesian framework
- em algorithm
- gaussian process
- sample size
- regularization parameter
- maximum a posteriori
- prior information
- noise level
- gaussian processes
- state space
- maximum likelihood
- incremental learning
- machine learning
- grid search
- missing values
- incomplete data
- supervised learning
- prior knowledge
- learning process
- multiscale
- learning algorithm