Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees.
Binghong ChenBo DaiQinjie LinGuo YeHan LiuLe SongPublished in: ICLR (2020)
Keyphrases
- high dimensions
- learning process
- reinforcement learning
- learning algorithm
- active learning
- decision trees
- learning tasks
- feature vectors
- high dimensional
- bandit problems
- decision theoretic
- incremental learning
- high dimensional data
- supervised learning
- data sets
- computational complexity
- pattern recognition
- image processing
- information retrieval
- data mining
- neural network