A novel method for learning policies from variable constraint data.
Matthew HowardStefan KlankeMichael GiengerChristian GoerickSethu VijayakumarPublished in: Auton. Robots (2009)
Keyphrases
- prior knowledge
- synthetic data
- missing data
- data collection
- noisy data
- data sets
- test data
- input data
- statistical methods
- significant improvement
- information loss
- data analysis
- detection method
- prior information
- supervised learning
- cost function
- dynamic programming
- preprocessing
- training data
- image data
- correlation analysis
- training samples
- unsupervised learning
- bayesian methods
- missing values
- reinforcement learning
- knowledge discovery
- data structure
- learning process
- learning scheme
- learning tasks
- database
- policy search
- clustering method
- data mining techniques
- state space
- active learning
- xml documents
- high dimensional
- association rules
- objective function
- similarity measure
- learning algorithm
- neural network