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LLMs can master long-horizon tasks by co-evolving a decision-making agent with a skill bank that learns and refines reusable skills from the agent's own experience.
LLM win rates in multi-agent games can nearly double (from 25% to 50%) simply by optimizing the context provided during inference.
