Reinforcement Learning Based on On-Line EM Algorithm.
Masa-aki SatoShin IshiiPublished in: NIPS (1998)
Keyphrases
- em algorithm
- reinforcement learning
- expectation maximization
- mixture model
- maximum likelihood
- parameter estimation
- maximum likelihood estimation
- gaussian mixture model
- generative model
- state space
- gaussian mixture
- likelihood function
- likelihood maximization
- maximum a posteriori
- incomplete data
- hidden variables
- log likelihood
- finite mixture models
- gibbs sampling
- expectation maximisation
- learning algorithm
- probability density function
- unsupervised learning
- model based clustering
- mixture modeling
- density estimation
- supervised learning
- active learning