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Yuxin Zuo
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Self Improving Agents in the Era of Experience: A Survey of Self to Meta Evolution
把 agent 自改进抽象为 trace to capability 流水线，覆盖 skills、memory、environment、model 与 meta layer。
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The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models
把 RLVR 训练能力上限关联到 policy entropy 消耗，并分析 advantage update 的熵动力学。
待审阅 2505.22617-entropy-mechanism-rl-reasoning-language-models Training StabilityReasoning RLRL Theory