Self-reinforced polynomial approximation methods for concentrated probability densities.
Tiangang CuiSergey DolgovOlivier ZahmPublished in: CoRR (2023)
Keyphrases
- approximation methods
- probability density
- density estimation
- gaussian mixture model
- probability density function
- random variables
- maximum likelihood estimation
- probability distribution
- density function
- gaussian mixture
- belief state
- neural network
- feature maps
- mean shift
- em algorithm
- least squares
- reinforcement learning