Reinforcement learning with Gaussian process regression using variational free energy.
Kiseki KamedaFuyuhiko TanakaPublished in: J. Intell. Syst. (2023)
Keyphrases
- free energy
- gaussian process regression
- reinforcement learning
- gaussian process
- approximate inference
- belief propagation
- gaussian processes
- fixed point
- competitive learning
- upper bound
- posterior distribution
- state space
- latent variables
- graphical models
- learning algorithm
- machine learning
- model selection
- neural network
- energy minimization
- image processing
- lower bound
- multi task
- message passing
- stereo matching
- energy function
- supervised learning