Ordering-Based Causal Discovery with Reinforcement Learning.
Xiaoqiang WangYali DuShengyu ZhuLiangjun KeZhitang ChenJianye HaoJun WangPublished in: IJCAI (2021)
Keyphrases
- causal discovery
- reinforcement learning
- causal models
- causal relationships
- discovery process
- bayesian networks
- causal structure
- function approximation
- directed acyclic graph
- conditional independence
- markov blanket
- markov decision processes
- structural equation models
- databases
- optimal policy
- state space
- dynamic programming
- learning algorithm
- sample size
- knowledge discovery
- learning process
- data analysis