Causal Discovery and Reinforcement Learning: A Synergistic Integration.
Arquímides Méndez-MolinaEduardo F. MoralesLuis Enrique SucarPublished in: PGM (2022)
Keyphrases
- causal discovery
- reinforcement learning
- causal models
- causal relationships
- discovery process
- function approximation
- directed acyclic graph
- causal structure
- bayesian networks
- state space
- conditional independence
- optimal policy
- markov decision processes
- databases
- decision makers
- probability distribution
- learning process
- learning environment
- learning algorithm
- markov blanket
- observational data
- data sets
- structural equation models