Section 4.2 demonstrates addressthechallenges (Figure 1 contains of Scatterbrain).

Neither (i) nor (ii) are known for general RMABs. Therefore, to capture the scheduling problems addressed inthiswork,weintroduce anewsubclass ofRMABs,Collapsing Bandits, distinguished by the following feature: when an arm is played, the agent fully observes its state, "collapsing" any uncertainty, but when an arm is passive, no observation is made and uncertainty evolves.

"collapsing" any uncertainty, but when an arm is passive, no observation is made,

High-level visual brain regions contain subareas in which neurons appear to respond more strongly to examples of a particular semantic category, like faces or bodies, rather than objects. However, recent work has shown that while this finding holds on average, some out-of-category stimuli also activate neurons in these regions.

In this paper we use explainability queries to formally compare the interpretability of machinelearningmodels.