Latent space policy search for robotics.
Kevin Sebastian LuckGerhard NeumannErik BergerJan PetersHeni Ben AmorPublished in: IROS (2014)
Keyphrases
- policy search
- latent space
- latent variables
- reinforcement learning
- gaussian process
- low dimensional
- lower dimensional
- feature space
- dimensionality reduction
- gaussian processes
- matrix factorization
- continuous state
- transfer learning
- high dimensional
- parameter space
- generative model
- manifold learning
- reinforcement learning algorithms
- probabilistic latent semantic analysis
- computer vision
- probabilistic model
- distance metric
- reward function
- dynamic programming
- partially observable markov decision processes
- policy gradient
- machine learning
- regression model
- missing data
- principal component analysis
- negative matrix factorization
- recommender systems
- pattern recognition
- optimal solution