Causal Discovery with Reinforcement Learning.
Shengyu ZhuIgnavier NgZhitang ChenPublished in: ICLR (2020)
Keyphrases
- causal discovery
- reinforcement learning
- causal models
- causal relationships
- causal structure
- discovery process
- bayesian networks
- function approximation
- directed acyclic graph
- learning algorithm
- conditional independence
- state space
- optimal policy
- markov decision processes
- data mining
- markov blanket
- data sets
- sensitivity analysis
- probability distribution
- association rules
- observational data
- structural equation models