Training Diverse High-Dimensional Controllers by Scaling Covariance Matrix Adaptation MAP-Annealing.
Bryon TjanakaMatthew C. FontaineDavid H. LeeAniruddha KalkarStefanos NikolaidisPublished in: IEEE Robotics Autom. Lett. (2023)
Keyphrases
- covariance matrix
- high dimensional
- covariance matrices
- principal component analysis
- sample size
- mahalanobis distance
- correlation matrix
- training samples
- training set
- low dimensional
- eigendecomposition
- objective function
- positive definite
- data points
- pseudo inverse
- input space
- transformation matrix
- eigenvalues and eigenvectors
- multivariate gaussian
- metric space
- gaussian mixture
- geometrical interpretation
- mahalanobis metric
- parameter space
- neural network
- similarity search
- multi objective
- feature selection
- genetic algorithm