Reinforcement Learning is not a Causal problem.
Mauricio Gonzalez-SotoFelipe Orihuela-EspinaPublished in: CoRR (2019)
Keyphrases
- reinforcement learning
- function approximation
- state space
- multi agent
- learning algorithm
- temporal difference
- causal networks
- markov decision processes
- machine learning
- reinforcement learning algorithms
- causal relationships
- causal theories
- bayesian networks
- learning problems
- optimal policy
- causal models
- model free
- learning capabilities
- supervised learning
- partially observable
- case study
- indirect effects
- reinforcement learning methods
- temporal difference learning
- causal discovery
- direct policy search
- observational data
- causal independence
- data sets
- causal relations
- causal reasoning
- action space
- robot control
- experimental data
- dynamic programming
- decision making
- genetic algorithm
- neural network