Beta DVBF: Learning State-Space Models for Control from High Dimensional Observations.
Neha DasMaximilian KarlPhilip Becker-EhmckPatrick van der SmagtPublished in: CoRR (2019)
Keyphrases
- reinforcement learning
- high dimensional
- prior knowledge
- state space
- learning algorithm
- accurate models
- structured prediction
- learning models
- learning systems
- active learning
- learned models
- supervised learning
- online learning
- generative model
- data sets
- bayesian networks
- autonomous robots
- parameter space
- learning tasks
- domain independent
- monte carlo
- optimal policy
- learning process
- model selection
- knowledge acquisition
- nearest neighbor
- semi supervised
- search algorithm
- probabilistic model
- control system
- search space