Searching Latent Sub-Goals in Hierarchical Reinforcement Learning as Riemannian Manifold Optimization.

Sidun Liu Peng Qiao Yong Dou Ruochun Jin

Published in: ICME (2022)

Keyphrases

hierarchical reinforcement learning
riemannian manifolds
euclidean space
reinforcement learning
vector space
latent variables
mean shift
geometric structure
feature space
distance measure
higher order
manifold learning
probabilistic model
geodesic distance
covariance matrices
feature vectors
state abstraction