Causal Deep Reinforcement Learning Using Observational Data.
Wenxuan ZhuChao YuQiang ZhangPublished in: IJCAI (2023)
Keyphrases
- observational data
- reinforcement learning
- experimental data
- causal bayesian networks
- causal inference
- causal structure
- causal discovery
- directed acyclic graph
- causal effects
- causal models
- causal relationships
- sample size
- latent variables
- bayesian networks
- function approximation
- optimal policy
- learning algorithm
- markov decision processes
- state space
- causal relations
- topic models
- learning process
- upper bound
- discovery process
- probabilistic model
- dynamic programming
- causal networks
- special case
- active learning