Active learning of causal structures with deep reinforcement learning.
Amir AmirinezhadSaber SalehkaleybarMatin HashemiPublished in: Neural Networks (2022)
Keyphrases
- active learning
- reinforcement learning
- learning algorithm
- machine learning
- supervised learning
- semi supervised
- transfer learning
- active exploration
- exploration exploitation
- learning process
- training examples
- state space
- bayesian networks
- markov decision processes
- causal models
- causal relationships
- observational data
- deep learning
- complex structures
- robotic control
- multi agent
- causal bayesian networks
- batch mode
- temporal difference
- model free
- pairwise
- learning strategies
- dynamic programming