Active Learning of Causal Structures with Deep Reinforcement Learning.
Amir AmirinezhadSaber SalehkaleybarMatin HashemiPublished in: CoRR (2020)
Keyphrases
- active learning
- reinforcement learning
- transfer learning
- learning algorithm
- function approximation
- bayesian networks
- batch mode
- random sampling
- learning process
- semi supervised
- supervised learning
- machine learning
- dynamic programming
- markov decision processes
- optimal policy
- exploration exploitation
- selective sampling
- training examples
- active exploration
- robotic control
- causal relationships
- learning strategies
- data sets
- causal independence
- mobile robot
- training data
- neural network