RIFAR: Reliability-Informed and Forgetting-Aware Replay for Continual Robot Learning with World-Action Models.

arXiv:2610.03079v3 Announce Type: replace Abstract: Genuine embodied agency requires robots to turn continuous real-world experience into lasting, transferable skills. This demands continual learning that integrates new capabilities while preserving prior know