Transfer learning with causal counterfactual reasoning in Decision Transformers.
Ayman BoustatiHana ChocklerDaniel C. McNameePublished in: CoRR (2021)
Keyphrases
- transfer learning
- causal reasoning
- learning tasks
- labeled data
- knowledge transfer
- causal models
- cross domain
- decision making
- machine learning
- transfer knowledge
- reinforcement learning
- multi task learning
- semi supervised learning
- knowledge representation
- text classification
- machine learning algorithms
- active learning
- structure learning
- text categorization
- knowledge base
- text mining
- multi task
- cross domain learning
- databases
- collaborative filtering
- semi supervised
- unlabeled data
- domain adaptation
- meta level
- probabilistic model
- bayesian networks
- data sets