A Covariance Matrix Adaptation Evolution Strategy for Direct Policy Search in Reproducing Kernel Hilbert Space.
Ngo Anh VienViet-Hung DangTaeChoong ChungPublished in: ACML (2017)
Keyphrases
- cma es
- reproducing kernel hilbert space
- evolution strategy
- covariance matrix
- kernel methods
- loss function
- evolutionary algorithm
- kernel function
- learning theory
- density estimation
- euclidean space
- special case
- differential evolution
- real valued
- domain adaptation
- kernel matrix
- learning problems
- principal component analysis
- distance measure
- gaussian process
- sample size
- input space
- optimization methods
- machine learning
- global search
- genetic algorithm
- metric learning
- learning tasks
- particle swarm optimization algorithm
- feature vectors
- high dimensional
- pairwise
- support vector
- data mining