Preprint Open access
TERRA: Learning Transportable Latent Actions through Temporal Effect Representation and Relational Alignment
Latent actions supervise robot policies with action-like codes inferred from visual transitions, and their usefulness hinges on two questions: what a code keeps from a transition, and whether it still means the same thing when reused in a different initial state. The first is a tension in time: an endpoint difference d …