Explainable Reinforcement Learning through a Causal Lens.
Prashan MadumalTim MillerLiz SonenbergFrank VeterePublished in: AAAI (2020)
Keyphrases
- reinforcement learning
- function approximation
- bayesian networks
- optimal policy
- dynamic programming
- reinforcement learning algorithms
- state space
- policy search
- multi agent
- model free
- causal relationships
- machine learning
- causal networks
- autonomous learning
- causal reasoning
- temporal difference
- markov decision processes
- supervised learning
- learning process
- causal models
- learning classifier systems
- transfer learning
- light field
- monte carlo
- partially observable
- reinforcement learning methods
- learning environment
- knowledge base
- data mining
- causal interactions