Structural Parameter Space Exploration for Reinforcement Learning via a Matrix Variate Distribution.
Shaochen WangRui YangBin LiZhen KanPublished in: IEEE Trans. Emerg. Top. Comput. Intell. (2023)
Keyphrases
- parameter space
- reinforcement learning
- lie group
- active exploration
- high dimensional
- starting points
- parameter values
- image space
- laplace transform
- action selection
- likelihood function
- function approximation
- probability distribution
- singular value decomposition
- autonomous learning
- state space
- multivariate data
- model based reinforcement learning
- linear transformations
- exploration strategy
- target function
- multi agent
- riemannian manifolds
- structural information
- markov decision processes
- optimal policy
- reinforcement learning algorithms
- temporal difference
- model free
- gaussian distribution
- covariance matrix
- hough space
- active learning
- search algorithm