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cs.AI2026
Online Goal Recognition using Path Signature and Dynamic Time Warping
Douglas Tesch, Nathan Gavenski, Leonardo Amado +2
Online goal recognition in continuous domains poses two central challenges: efficiently encoding large trajectories and effectively comparing them. Recent work addresses these chal…
cs.AI2024
Real-time goal recognition using approximations in Euclidean space
Douglas Tesch, Leonardo Rosa Amado, Felipe Meneguzzi
While recent work on online goal recognition efficiently infers goals under low observability, comparatively less work focuses on online goal recognition that works in both discret…