Clustering subspace generalization to obtain faster reinforcement learning.
Maryam HashemzadehReshad HosseiniMajid Nili AhmadabadiPublished in: Evol. Syst. (2020)
Keyphrases
- reinforcement learning
- subspace clustering
- clustering algorithm
- clustering high dimensional data
- clustering method
- high dimensional data
- state space
- data clustering
- hierarchical clustering
- function approximation
- k means
- high dimensional
- locality preserving
- low dimensional
- self organizing maps
- learning algorithm
- model free
- markov decision processes
- dynamic programming
- multi agent
- transfer learning
- cluster analysis
- optimal policy
- spectral clustering
- dimensionality reduction
- principal component analysis
- categorical data
- action selection
- action space
- feature extraction
- machine learning