Region-based Q-learning using convex clustering approach.
J. H. KimIl Hong SuhSang-Rok OhY. J. ChoY. K. ChungPublished in: IROS (1997)
Keyphrases
- clustering algorithm
- reinforcement learning
- k means
- clustering method
- cooperative
- cluster analysis
- image segmentation
- multi agent
- state space
- unsupervised learning
- learning rate
- neural network
- function approximation
- self organizing maps
- anomaly detection
- categorical data
- alternating optimization
- convex optimization
- document clustering
- convex hull
- high dimensional data
- dynamic programming
- data mining