Self-Evolving Embodied Agents via Skill-Harness Evolution
Researchers propose SHAPER, a self-evolving framework that improves embodied agents by evolving reusable skills and a context-code harness without updating model parameters, achieving gains on VLABench and ESI-Bench benc…