Linear Causal Bandits: Unknown Graph and Soft Interventions

Neural Information Processing Systems 

Designing causal bandit algorithms depends on two central categories of assumptions: (i) the extent of information about the underlying causal graphs and (ii) the extent of information about interventional statistical models.