Researcher, Massachusetts General Hospital, Harvard University
1 paper at NeurIPS 2025
We introduce the problem of attention-aware inverse planning, in which the goal is to estimate a resource-limited decision-maker’s attentional strategies from their behavior, and propose algorithms for solving this problem.
