Using Contrastive Samples for Identifying and Leveraging Possible Causal Relationships in Reinforcement Learning.
Harshad KhadilkarHardik MeisheriPublished in: CoRR (2022)
Keyphrases
- causal relationships
- reinforcement learning
- causal discovery
- causal models
- bayesian networks
- data mining
- previously unknown
- causal structure
- function approximation
- influence diagrams
- fuzzy cognitive maps
- causal relations
- information extraction
- learning algorithm
- causal effects
- structural descriptions
- optimal policy
- data sets
- machine learning
- causal networks
- structural model
- training set
- learning process
- state space
- latent variables
- co occurrence