Model-Based Reinforcement Learning via Latent-Space Collocation.
Oleh RybkinChuning ZhuAnusha NagabandiKostas DaniilidisIgor MordatchSergey LevinePublished in: ICML (2021)
Keyphrases
- latent space
- model based reinforcement learning
- markov decision processes
- latent variables
- low dimensional
- gaussian process
- co occurrence
- generative model
- lower dimensional
- probabilistic latent semantic analysis
- dimensionality reduction
- parameter space
- reinforcement learning
- manifold learning
- matrix factorization
- feature space
- transfer learning
- distance metric
- gaussian processes
- high dimensional
- gaussian mixture
- mixture model
- high dimensional data
- gaussian process latent variable models
- information retrieval
- high dimensional spaces
- dynamic programming
- knn
- text classification
- em algorithm