2016
Causal Bandits: Learning Good Interventions via Causal Inference
NeurIPS 2016poster
We study the problem of using causal models to improve the rate at which good interventions can be learned online in a stochastic environment. Our formalism combines multi-arm bandits and causal inference to model a novel type of bandit feedback that is not exploited by existing approaches. We propo…