A density projection approach to dimension reduction for continuous-state POMDPs.
Enlu ZhouMichael C. FuSteven I. MarcusPublished in: CDC (2008)
Keyphrases
- dimension reduction
- continuous state
- partially observable markov decision processes
- reinforcement learning
- robot navigation
- finite state
- feature extraction
- policy search
- principal component analysis
- state dependent
- action space
- control policies
- high dimensional
- planning problems
- high dimensional data
- linear discriminant analysis
- cluster analysis
- singular value decomposition
- low dimensional
- dimensionality reduction
- feature space
- feature selection
- point based value iteration
- dynamical systems
- unsupervised learning
- state space
- preprocessing
- markov decision processes
- belief state
- high dimensionality
- dynamic programming
- decision problems
- markov chain
- continuous action
- machine learning
- data sets
- object recognition
- computer vision