Pei-Lan Xu

Discovering Diverse Planning Policies for Multimodal Embodied Agents with Quality-Diversity Optimization

Multimodal embodied agents are increasingly required to solve long-horizon tasks by integrating visual observations, textual goals, and interaction history into closed-loop decision making. However, state-of-the-art large-model-based planners often rely on a single dominant planning style during execution. Once this ex...