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cs.AI2026
Improving LLM Collaboration via Multi-Agent Preference Learning
Shuo Liu, Xinzichen Li, Tianle Chen +1
Several works have explored multi-agent reinforcement learning (MARL) in LLM collaboration. However, constructing reliable rewards is difficult in practice, as complete and accurat…
cs.RO2026
Cross-Modal Navigation with Multi-Agent Reinforcement Learning
Shuo Liu, Xinzichen Li, Christopher Amato
Robust embodied navigation relies on complementary sensory cues. However, high-quality and well-aligned multi-modal data is often difficult to obtain in practice. Training a monoli…
cs.AI2026
Learning Decentralized LLM Collaboration with Multi-Agent Actor Critic
Shuo Liu, Tianle Chen, Ryan Amiri +1
Recent work has explored optimizing LLM collaboration through Multi-Agent Reinforcement Learning (MARL). However, most MARL fine-tuning approaches rely on predefined execution prot…