Data-Driven Goal Recognition Design for General Behavioral Agents

arXiv:2404.03054v1 Announce Type: cross
Abstract: Goal recognition design aims to make limited modifications to decision-making environments with the goal of making it easier to infer the goals of agents acting within those environments. Although various research efforts have been made in goal recognition design, existing approaches are computationally demanding and often assume that agents are (near-)optimal in their decision-making. To address these limitations, we introduce a data-driven approach to goal recognition design that can account for agents with general behavioral …

abstract acting agents arxiv cs.ai cs.lg data data-driven decision design environments general making recognition research type