{"id":61489,"date":"2025-07-01T19:44:43","date_gmt":"2025-07-01T11:44:43","guid":{"rendered":"https:\/\/swarma.org\/?p=61489"},"modified":"2025-07-01T19:44:43","modified_gmt":"2025-07-01T11:44:43","slug":"%e8%b5%b0%e5%90%91%e9%80%9a%e7%94%a8%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%e4%b9%8b%e8%b7%af%ef%bc%8c%e4%b8%96%e7%95%8c%e6%a8%a1%e5%9e%8b%e4%b8%ba%e4%bd%95%e4%b8%8d%e5%8f%af%e6%88%96%e7%bc%ba%ef%bc%9f","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=61489","title":{"rendered":"\u8d70\u5411\u901a\u7528\u4eba\u5de5\u667a\u80fd\u4e4b\u8def\uff0c\u4e16\u754c\u6a21\u578b\u4e3a\u4f55\u4e0d\u53ef\u6216\u7f3a\uff1f"},"content":{"rendered":"
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\u5173\u952e\u8bcd\uff1a\u4e16\u754c\u6a21\u578b (world model)\u3001\u6a21\u578b\u65e0\u5173\u5b66\u4e60 (model-free learning)\u3001\u76ee\u6807\u6761\u4ef6\u7b56\u7565 (goal-conditioned policy)\u3001\u540e\u6094\u754c (regret bound)\u3001\u73af\u5883\u9884\u6d4b (predictive model)\u3001\u7ebf\u6027\u65f6\u5e8f\u903b\u8f91 (Linear Temporal Logic)<\/span><\/span><\/strong><\/p>\n<\/section>\n

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\u8bba\u6587\u9898\u76ee\uff1aGeneral agents need world models<\/span><\/span><\/p>\n

\u53d1\u8868\u65f6\u95f4\uff1a2025\u5e746\u67082\u65e5<\/span><\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/arxiv.org\/abs\/2506.01622<\/span><\/span><\/p>\n

\u8bba\u6587\u4f1a\u8bae\uff1aICML 2025<\/span><\/span><\/p>\n<\/blockquote>\n


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\u8fd1\u5e74\u6765\uff0c\u968f\u7740\u5c11\u6837\u672c<\/span>\uff08few-shot\uff09<\/span>\u4e0e\u96f6\u6837\u672c<\/span>\uff08zero-shot\uff09<\/span>\u5b66\u4e60\u5728\u5927\u8bed\u8a00\u6a21\u578b\u4e2d\u7684\u7a81\u7834\uff0c\u4eba\u4eec\u5bf9\u901a\u7528\u667a\u80fd\u4f53<\/span>\uff08general agents\uff09<\/span>\u662f\u5426\u5fc5\u987b\u6784\u5efa\u201c\u4e16\u754c\u6a21\u578b\u201d\u5c55\u5f00\u4e86\u6fc0\u70c8\u4e89\u8bba\u3002\u4e00\u65b9\u9762\uff0c\u7eaf\u7cb9\u7684\u65e0\u6a21\u578b\u5b66\u4e60<\/span>\uff08model-free learning\uff09<\/span>\u5df2\u5728\u8bf8\u591a\u4efb\u52a1\u4e2d\u5c55\u73b0\u51fa\u60ca\u4eba\u6cdb\u5316\u80fd\u529b\uff1b\u53e6\u4e00\u65b9\u9762\uff0c\u5fc3\u7406\u5b66\u4e0e\u8ba4\u77e5\u79d1\u5b66\u5219\u5f3a\u8c03\u4eba\u7c7b\u5728\u8fdb\u884c\u591a\u6b65\u89c4\u5212\u65f6\u4f9d\u8d56\u4e30\u5bcc\u7684\u73af\u5883\u8868\u5f81<\/span>\uff08world models\uff09<\/span>\u3002\u672c\u6587\u7531Richens\u7b49\u4eba\u6b63\u5f0f\u56de\u7b54\u4e86\u8fd9\u4e00\u95ee\u9898\uff1a\u4efb\u4f55\u80fd\u591f\u5728\u591a\u6b65\u76ee\u6807\u5bfc\u5411\u4efb\u52a1\u4e0a\u4fdd\u6301\u8f83\u4f4e\u540e\u6094<\/span>\uff08regret\uff09<\/span>\u7684\u667a\u80fd\u4f53\uff0c\u90fd\u5fc5\u7136\u5b66\u4f1a\u4e86\u73af\u5883\u7684\u9884\u6d4b\u6a21\u578b\u3002<\/span><\/span><\/p>\n


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\u56fe 1. \u672c\u6587\u7684\u7ed3\u679c\u8865\u5145\u4e86\u4e4b\u524d\u5173\u4e8e\u89c4\u5212\u548c\u9006\u5411RL\u7684\u89c1\u89e3\u3002\u89c4\u5212\u4f7f\u7528\u4e16\u754c\u6a21\u578b\u548c\u76ee\u6807\u6765\u786e\u5b9a\u7b56\u7565\uff0c\u9006\u5411RL\u548c\u9006\u89c4\u5212\u4f7f\u7528\u667a\u80fd\u4f53\u7684\u7b56\u7565\u548c\u4e16\u754c\u6a21\u578b\u6765\u786e\u5b9a\u5176\u76ee\u6807\uff0c\u800c\u672c\u6587\u4f7f\u7528\u667a\u80fd\u4f53\u7684\u7b56\u7565\u548c\u76ee\u6807\u6765\u786e\u5b9a\u4e16\u754c\u6a21\u578b\u3002<\/span><\/span><\/p>\n


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<\/span><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n


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<\/span><\/p>\n

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<\/span><\/p>\n

\u53c2\u8003\u6587\u732e\uff1a<\/span><\/span><\/p>\n

1. Johnson-Laird, P. N. Mental models: Towards a cognitive science of language, inference, and consciousness. Number 6. Harvard University Press, 1983.<\/span><\/span><\/p>\n


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-\u76f4\u64ad\u9884\u544a-<\/span><\/span><\/p>\n

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<\/span><\/span><\/span><\/strong><\/span><\/section>\n

\u81ea\u4e0b\u800c\u4e0a\uff1aTransformer circuit \u4e3a\u4ec0\u4e48\u6709\u6548\uff1f<\/span><\/p>\n

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<\/span><\/section>\n
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<\/span><\/section>\n
\"\u56fe\u7247\"<\/span><\/a>
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<\/span><\/p>\n

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2.\u6885\u62c9\u59ae\u00b7\u7c73\u6b47\u5c14Science\u520a\u6587\uff1a\u201c\u901a\u7528\u4eba\u5de5\u667a\u80fd\u201d\u672c\u8d28\u4e4b\u8fa9<\/span><\/a><\/span><\/strong>
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4. <\/span><\/strong><\/span>\u6d8c\u73b0\u52a8\u529b\u5b66\u5982\u4f55\u7528\u6765\u5206\u6790\u590d\u6742\u7cfb\u7edf\uff1f | \u65b0\u8bfe\u4e0a\u7ebf<\/a><\/span><\/strong><\/strong><\/span><\/section>\n
<\/strong>5. <\/span><\/strong>AI\u65f6\u4ee3\u7684\u5b66\u4e60\uff1a\u5171\u63a2\u4eba\u7c7b\u5b66\u4e60\u7684\u590d\u6742\u6027<\/span><\/a><\/span><\/strong><\/section>\n

6. <\/span><\/strong>\u63a2\u7d22\u8005\u8ba1\u5212 | \u96c6\u667a\u4ff1\u4e50\u90e82025\u5185\u5bb9\u56e2\u961f\u62db\u52df\uff08\u5168\u804c&\u517c\u804c\uff09<\/a><\/span><\/strong><\/span><\/p>\n

7.<\/span><\/span><\/strong><\/strong><\/span> <\/span><\/span><\/strong><\/strong><\/span>\u7cfb\u7edf\u79d1\u5b66\u524d\u6cbf\u5341\u8bb2\uff1a\u7406\u89e3\u81ea\u7136\u3001\u751f\u547d\u4e0e\u793e\u4f1a\u7684\u590d\u6742\u6027<\/span><\/a><\/span><\/strong><\/strong><\/span><\/p>\n


<\/span><\/p>\n


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\u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u62a5\u540d\u8bfb\u4e66\u4f1a <\/span><\/span><\/section>\n<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

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