Model-Based Reinforcement Learning via Latent-Space Collocation.
Oleh RybkinChuning ZhuAnusha NagabandiKostas DaniilidisIgor MordatchSergey LevinePublished in: CoRR (2021)
Keyphrases
- model based reinforcement learning
- latent space
- markov decision processes
- latent variables
- low dimensional
- co occurrence
- probabilistic latent semantic analysis
- dimensionality reduction
- gaussian process
- lower dimensional
- generative model
- gaussian processes
- reinforcement learning
- parameter space
- transfer learning
- manifold learning
- gaussian process latent variable models
- high dimensional
- distance metric
- matrix factorization
- feature space
- high dimensional data
- probabilistic model
- high dimensional spaces
- data points
- prior knowledge
- bayesian framework
- semi supervised
- search algorithm
- model selection
- machine learning