A Survey on Causal Reinforcement Learning.
Yan ZengRuichu CaiFuchun SunLibo HuangZhifeng HaoPublished in: CoRR (2023)
Keyphrases
- reinforcement learning
- function approximation
- causal relationships
- learning algorithm
- model free
- bayesian networks
- optimal policy
- causal theories
- causal networks
- causal models
- markov decision processes
- reinforcement learning algorithms
- action space
- causal relations
- causal discovery
- supervised learning
- state space
- causal inference
- neural network
- causal reasoning
- database
- direct policy search
- temporal difference
- action selection
- learning classifier systems
- transfer learning
- decision making
- genetic algorithm
- machine learning
- data sets