Causal Deep Reinforcement Learning using Observational Data.
Wenxuan ZhuChao YuQiang ZhangPublished in: CoRR (2022)
Keyphrases
- observational data
- reinforcement learning
- causal bayesian networks
- experimental data
- causal structure
- causal discovery
- causal inference
- directed acyclic graph
- causal models
- causal effects
- causal relationships
- latent variables
- sample size
- bayesian networks
- function approximation
- learning algorithm
- state space
- machine learning
- causal networks
- discovery process
- dynamic programming
- markov decision processes
- data mining
- optimal policy
- conditional independence
- causal relations
- knowledge discovery
- probabilistic model