ce-cm-div-d8a6c200·1 events·first seen Aliases: CE-CM-Div
Researchers introduce CE-CM (Capability Estimation via Contextual Models), an approximate Bayesian method for inferring hidden partner capability vectors in multi-task ad-hoc teamwork settings without population pre-training. The approach frames collaboration as joint planning with decentralized execution under uncertainty, refining beliefs online from a small number of tasks. An extension, CE-CM-Div, accounts for human behavioral diversity by evaluating capability hypotheses against diverse planner rollouts rather than a single optimal trajectory. A human study of 225 trajectories from 15 participants shows CE-CM-Div substantially improves capability estimates, suggesting capability-based modeling is a promising direction for robust human-AI teaming.