Generalized Thompson Sampling for Sequential Decision-Making and Causal Inference
Pedro A. OrtegaDaniel A. BraunPublished in: CoRR (2013)
Keyphrases
- causal inference
- sequential decision making
- decision problems
- reinforcement learning
- additive noise
- influence diagrams
- causal models
- abductive reasoning
- nonmonotonic reasoning
- discrete data
- rare events
- temporal difference
- sample size
- expected utility
- importance sampling
- observational data
- artificial intelligence
- state space
- optimal policy
- decision making