Parametric Return Density Estimation for Reinforcement Learning.
Tetsuro MorimuraMasashi SugiyamaHisashi KashimaHirotaka HachiyaToshiyuki TanakaPublished in: UAI (2010)
Keyphrases
- density estimation
- reinforcement learning
- mixture model
- probability density
- probability density function
- density function
- nonparametric density estimation
- learning algorithm
- parzen window
- multivariate gaussian distribution
- mixture modeling
- state space
- density estimators
- gaussian mixture model
- em algorithm
- outlier detection
- density estimates
- kernel density estimation
- pairwise
- machine learning
- bayesian networks
- object recognition
- training set
- multi class
- probability distribution
- expectation maximization
- supervised learning
- nearest neighbor