Causal Counterfactuals for Improving the Robustness of Reinforcement Learning.
Tom HeJasmina GajcinIvana DusparicPublished in: CoRR (2022)
Keyphrases
- reinforcement learning
- causal models
- function approximation
- state space
- markov decision processes
- causal inference
- causal relations
- computational efficiency
- bayesian networks
- machine learning
- experimental data
- optimal control
- causal relationships
- reinforcement learning algorithms
- causal reasoning
- probabilistic model
- real time
- learning environment
- directed acyclic graph
- decision making
- causal discovery