Interpretable Dynamics Models for Data-Efficient Reinforcement Learning.
Markus KaiserClemens OtteThomas A. RunklerCarl Henrik EkPublished in: CoRR (2019)
Keyphrases
- data sets
- historical data
- experimental data
- data analysis
- empirical data
- probabilistic model
- accurate models
- database
- original data
- small number
- data points
- probability distribution
- reinforcement learning
- data sources
- prior knowledge
- high quality
- raw data
- data structure
- missing data
- sensor data
- neural network
- learning algorithm
- data quality
- synthetic data
- high dimensional data
- data collection
- data processing
- input data
- data mining techniques
- knowledge discovery