Latent Space Policies for Hierarchical Reinforcement Learning.
Tuomas HaarnojaKristian HartikainenPieter AbbeelSergey LevinePublished in: ICML (2018)
Keyphrases
- hierarchical reinforcement learning
- latent space
- latent variables
- low dimensional
- gaussian process
- reinforcement learning
- lower dimensional
- generative model
- dimensionality reduction
- feature space
- parameter space
- matrix factorization
- transfer learning
- high dimensional
- gaussian processes
- probabilistic latent semantic analysis
- state abstraction
- gaussian process latent variable models
- manifold learning
- reward function
- model free
- distance metric
- high dimensional spaces
- average reward
- reinforcement learning algorithms
- gaussian mixture
- feature extraction