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Preprint Aug 2026

Training Small LLMs as Spatial Multi-Agent Policies

Training LLM-based multi-agent systems with multi-agent reinforcement learning with multi-agent reinforcement learning is rapidly gaining traction, and a parallel line of work argues that such systems should be judged by their behavior, not only their reward.

Yi Mao, Andrew Perrault · 0 citations