AI RESEARCH
UnityMAS-O: A General RL Optimization Framework for LLM-Based Multi-Agent Systems
arXiv CS.AI
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ArXi:2605.26646v1 Announce Type: new LLM-based multi-agent systems decompose complex tasks into interacting roles, but most remain manually orchestrated by prompts, tools, and control rules, while agents are rarely optimized through a unified reinforcement learning interface. Existing RL post-