MAGIC: Mixed-Granularity Agent Graphs via Incremental Construction with Dense-Reward Reinforcement Learning
MAGIC uses dense-reward reinforcement learning to build mixed-granularity multi-agent graphs that beat baselines on eight benchmarks.
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MAGIC uses dense-reward reinforcement learning to build mixed-granularity multi-agent graphs that beat baselines on eight benchmarks.
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