Explainable Reinforcement Learning Through a Causal Lens.
Prashan MadumalTim MillerLiz SonenbergFrank VeterePublished in: CoRR (2019)
Keyphrases
- reinforcement learning
- function approximation
- state space
- reinforcement learning algorithms
- markov decision processes
- causal independence
- policy search
- causal relationships
- learning algorithm
- bayesian networks
- multi agent
- causal networks
- temporal difference learning
- multi agent reinforcement learning
- optimal policy
- supervised learning
- machine learning
- wide angle
- causal inference
- causal knowledge
- causal models
- learning process
- data mining
- function approximators
- causal reasoning
- causal relations
- markov decision process
- model free
- causal structure
- optimal control
- search space
- data sets