Fast Reinforcement Learning with Incremental Gaussian Mixture Models.
Rafael PintoPublished in: IJCNN (2021)
Keyphrases
- gaussian mixture model
- reinforcement learning
- mixture model
- feature vectors
- speaker recognition
- expectation maximization
- em algorithm
- state space
- function approximation
- incremental learning
- covariance matrices
- gaussian distribution
- density estimation
- gaussian mixture
- maximum likelihood
- feature space
- probability density function
- speaker identification
- learning algorithm
- variational bayes
- machine learning
- probability density
- finite mixtures
- dynamic programming
- information retrieval
- sample size
- data mining