Ordering-Based Causal Discovery with Reinforcement Learning.
Xiaoqiang WangYali DuShengyu ZhuLiangjun KeZhitang ChenJianye HaoJun WangPublished in: CoRR (2021)
Keyphrases
- causal discovery
- reinforcement learning
- causal models
- causal relationships
- bayesian networks
- discovery process
- function approximation
- directed acyclic graph
- causal structure
- markov blanket
- conditional independence
- markov decision processes
- learning algorithm
- observational data
- learning process
- optimal policy
- state space
- causal relations
- causal graph
- machine learning