Deconfounding with Networked Observational Data in a Dynamic Environment.
Jing MaRuocheng GuoChen ChenAidong ZhangJundong LiPublished in: WSDM (2021)
Keyphrases
- dynamic environments
- observational data
- experimental data
- directed acyclic graph
- causal discovery
- causal structure
- causal bayesian networks
- causal models
- latent variables
- causal effects
- mobile robot
- autonomous agents
- causal relationships
- path planning
- sample size
- potential field
- changing environment
- bayesian networks
- databases
- upper bound
- real environment
- active learning
- information retrieval
- reinforcement learning agents
- machine learning