arXiv cs.LG
· Papers
CLAM: Continuous Latent Action Models for Robot Learning from Unlabeled Demonstrations
arXiv:2505.04999v2 Announce Type: replace-cross Abstract: Learning robot control policies from demonstrations typically requires action-labeled expert data, which is expensive to collect through teleoperation. We study a more practical setting in which expert demonstrations are available only as observation sequences w