“Robot utility models” sidestep the need to tweak the data used to train robots every time they try to do something in unfamiliar settings. It’s tricky to get robots to do things in environments ...

We obtain a necessary and sufficient condition under which random-coefficient discrete choice models, such as mixed-logit models, are rich enough to approximate any nonparametric random utility models ...