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      <title>Agentic RL 的本质：从&#34;给模型接工具&#34;到&#34;给模型放进环境&#34;</title>
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      <description>从信息闭环、状态性、不可逆动作和决策质量度量重新定义 agentic RL，区分它与 RLM、single-turn tool use 和 verifiable multi-turn tool use 的本质边界。</description>
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      <title>Agent-World：看清当下开源与闭源 Agent 能力差距的一面镜子</title>
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      <pubDate>Fri, 24 Apr 2026 00:00:00 +0000</pubDate>
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      <description>围绕 Agent-World 论文，梳理开源小模型与闭源通用模型在复杂 agentic 任务上的差距、环境 scaling law 的形态以及 self-evolution 的收益结构。</description>
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      <title>RL 训练中该看哪些指标：从 entropy 到 faithfulness 的尺度梳理</title>
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      <pubDate>Fri, 24 Apr 2026 00:00:00 +0000</pubDate>
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      <description>按 token、rollout、group、batch 和训练过程等尺度梳理 RL post-training 中应观察的诊断指标，以及每个指标能说明和不能说明什么。</description>
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