Sparse Latent Space Policy Search.
Kevin Sebastian LuckJoni PajarinenErik BergerVille KyrkiHeni Ben AmorPublished in: AAAI (2016)
Keyphrases
- policy search
- latent space
- high dimensional
- latent variables
- low dimensional
- reinforcement learning
- lower dimensional
- dimensionality reduction
- gaussian process
- feature space
- parameter space
- continuous state
- dynamic programming
- generative model
- manifold learning
- matrix factorization
- probabilistic latent semantic analysis
- gaussian processes
- reinforcement learning algorithms
- distance metric
- random projections
- state space
- partially observable markov decision processes
- policy gradient
- sparse representation
- hidden markov models
- original data
- learning tasks
- missing values
- transfer learning
- random variables
- text categorization
- principal component analysis
- probabilistic model
- neural network