Dynamic abstraction in reinforcement learning via clustering.
Shie MannorIshai MenacheAmit HozeUri KleinPublished in: ICML (2004)
Keyphrases
- reinforcement learning
- clustering algorithm
- function approximation
- dynamic environments
- graph theoretic
- clustering method
- k means
- learning algorithm
- unsupervised learning
- dynamic programming
- optimal policy
- self organizing maps
- information theoretic
- data clustering
- similarity function
- data points
- document clustering
- hierarchical clustering
- data streams
- optimal control