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LLMs can learn to play complex games far more effectively by co-evolving a skill bank with a decision-making agent, enabling consistent long-horizon decision-making.
LLM win rates in multi-agent games can nearly double (from 25% to 50%) simply by optimizing the context provided during inference.
