Stochastic Intervention for Causal Inference via Reinforcement Learning.
Tri Dung DuongQian LiGuandong XuPublished in: CoRR (2021)
Keyphrases
- markov chain
- causal inference
- reinforcement learning
- state space
- monte carlo
- additive noise
- causal models
- abductive reasoning
- nonmonotonic reasoning
- discrete data
- rare events
- optimal policy
- machine learning
- data mining
- probability distribution
- hidden markov models
- learning process
- observational data
- logic programs
- edge detection