Explore, Execute, Evolve: A Skill Acquisition and Reuse Loop for Embodied Agents.

arXiv:2609.37810v1 Announce Type: cross Abstract: Vision-language-action and world-action models have demonstrated impressive capabilities in robotics, yet generalization to unseen tasks remains challenging. More recently, general-purpose multimodal agents hav