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LLM agents can learn to cooperate far more efficiently by borrowing credit assignment techniques from classic multi-agent RL.
Forget hyperparameter tuning – autonomous research reveals that bug fixes and architectural tweaks unlock far greater gains in multimodal agent memory.
