Author

Yi-Han Du

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#artificial intelligence Preprint Oct 2026

Flowing Faster to Coordinate: One-Step Online Multi-Agent Flow Policies

Multi-agent reinforcement learning (MARL) provides a powerful framework for learning coordinated behaviors through interactions with the environment. Developing MARL policies requires balancing expressive modeling of complex and multimodal action distributions with efficient training and execution. Generative policies,...

Zhuo-Ran Li, Yun-Zhan Li, Xun Wang et al. · 0 citations

Preprint Sep 2026

Safe Task Planning with Long-Term Graph Memory for Embodied Agents

Large language models (LLMs) and vision-language models (VLMs) have significantly advanced zero-shot task planning for embodied agents. However, most LLM- and VLM-driven methods struggle to generate safe high-level actions due to a lack of physical risk awareness, particularly under partial observability, where hazards...

Si-Yuan Li, Tai-Yan Lang, Ao Yan et al. · 0 citations