Exploration in Feature Space for Reinforcement Learning.
Suraj Narayanan SasikumarPublished in: CoRR (2017)
Keyphrases
- feature space
- reinforcement learning
- active exploration
- exploration strategy
- action selection
- exploration exploitation
- model based reinforcement learning
- high dimensional
- function approximation
- feature vectors
- input space
- kernel function
- state space
- exploration exploitation tradeoff
- principal component analysis
- autonomous learning
- classification accuracy
- optimal policy
- input data
- training set
- feature selection
- learning problems
- image retrieval
- data points
- model free
- temporal difference
- mean shift
- optimal control
- hyperplane
- high dimensionality
- low dimensional
- support vector machine
- learning classifier systems
- linear discriminant analysis
- function approximators
- high dimensional feature space
- training samples
- policy search
- active learning
- learning process
- feature extraction