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据统计数据显示，相关领域的市场规模已达到了新的历史高点，年复合增长率保持在两位数水平。
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In games with hidden information where players take turns without full visibility of each other's data—such as poker—the creation of multi-agent reinforcement learning (MARL) algorithms has traditionally involved manual refinement. Experts would devise weighting methods, discounting approaches, and equilibrium solvers through repeated experimentation and insight. Google DeepMind has introduced AlphaEvolve, an evolutionary coding system driven by a large language model (LLM), which automates this search process.
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