Generalized Thompson sampling for sequential decision-making and causal inference.
Pedro A. OrtegaDaniel A. BraunPublished in: Complex Adapt. Syst. Model. (2014)
Keyphrases
- causal inference
- sequential decision making
- reinforcement learning
- decision problems
- additive noise
- causal models
- influence diagrams
- discrete data
- rare events
- sample size
- abductive reasoning
- nonmonotonic reasoning
- importance sampling
- monte carlo
- markov chain
- spatial domain
- expected utility
- high dimensional
- bayesian networks