Directed Temporal Representations for Offline Visual Control
Directed Temporal Representations for Control (DTRC) learns a goal-relative temporal geometry on top of frozen visual features to guide direct policy learning. It constructs this geometry using a directed quasimetric derived from offline trajectories, enabling control by providing a signal that aligns temporal reachability with the desired goal, bypassing complex trajectory search.