Towards accelerated robotic deployment by supervised learning of latent space observer and policy from simulated experiments with expert policies.
Olivier AlgoetTom LefebvreGuillaume CrevecoeurPublished in: AIM (2020)
Keyphrases
- latent space
- optimal policy
- supervised learning
- reinforcement learning
- low dimensional
- latent variables
- lower dimensional
- gaussian process
- transfer learning
- dimensionality reduction
- parameter space
- matrix factorization
- manifold learning
- unsupervised learning
- semi supervised
- generative model
- gaussian processes
- gaussian process latent variable models
- probabilistic latent semantic analysis
- learning algorithm
- feature space
- state space
- semi supervised learning
- learning tasks
- distance metric
- high dimensional
- high dimensional data
- training data
- active learning
- machine learning
- training set
- gaussian mixture
- principal component analysis
- labeled data
- support vector
- human body
- unlabeled data