Think Twice, Act Once: Verifier-Guided Action Selection For Embodied Agents

This paper proposes Verifier-Guided Action Selection (VegAS), a test-time framework to enhance the robustness of MLLM-based embodied agents. It uses a generative verifier to identify the most reliable action choice from an ensemble of candidates.