Reinforcement Learning for Continuous Stochastic Actions - An Approximation of Probability Density Function by Orthogonal Wave Function Expansion - .
Hideki SatohPublished in: IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (2006)
Keyphrases
- probability density function
- weibull distribution
- reinforcement learning
- density function
- action space
- probability density
- continuous functions
- state action
- density estimation
- probability distribution
- nonparametric estimation
- probability distribution function
- bayesian framework
- action selection
- function approximators
- state space
- gaussian mixture model
- function approximation
- kullback leibler divergence
- distance function
- expectation maximization
- em algorithm
- fisher information
- statistical methods
- markov decision processes
- information retrieval
- parzen window
- neural network
- feature vectors
- reward function
- unsupervised learning
- mixture model