{"id":53939,"date":"2024-12-01T18:55:03","date_gmt":"2024-12-01T10:55:03","guid":{"rendered":"https:\/\/swarma.org\/?p=53939"},"modified":"2024-12-01T18:55:03","modified_gmt":"2024-12-01T10:55:03","slug":"nat-mach-intell-%e9%80%9f%e9%80%92%ef%bc%9a%e5%a4%a7%e8%a7%84%e6%a8%a1%e7%bd%91%e7%bb%9c%e6%8e%a7%e5%88%b6%e7%9a%84%e9%ab%98%e6%95%88%e5%92%8c%e5%8f%af%e6%89%a9%e5%b1%95%e7%9a%84%e5%bc%ba%e5%8c%96","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=53939","title":{"rendered":"Nat. Mach. Intell. \u901f\u9012\uff1a\u5927\u89c4\u6a21\u7f51\u7edc\u63a7\u5236\u7684\u9ad8\u6548\u548c\u53ef\u6269\u5c55\u7684\u5f3a\u5316\u5b66\u4e60"},"content":{"rendered":"
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\u8bba\u6587\u9898\u76ee\uff1aEfficient and scalable reinforcement learning for large-scale network control<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/www.nature.com\/articles\/s42256-024-00879-7<\/span><\/p>\n

\u671f\u520a\u540d\u79f0\uff1aNature Machine Intelligence<\/em><\/span><\/p>\n<\/blockquote>\n


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\u5728\u5f53\u4eca\u9ad8\u5ea6\u590d\u6742\u7684\u6280\u672f\u73af\u5883\u4e2d\uff0c\u5982\u4f55\u5bf9\u5927\u89c4\u6a21\u7f51\u7edc\u7cfb\u7edf\u8fdb\u884c\u9ad8\u6548\u63a7\u5236\u5df2\u6210\u4e3a\u4e00\u5927\u6311\u6218\u3002\u4ece\u4ea4\u901a\u4fe1\u53f7\u706f\u4f18\u5316\u5230\u7535\u529b\u7f51\u7edc\u8c03\u5ea6\uff0c\u6bcf\u4e2a\u573a\u666f\u90fd\u8981\u6c42 AI \u5177\u5907\u5353\u8d8a\u7684\u9002\u5e94\u6027\u548c\u53ef\u6269\u5c55\u6027\u3002\u7136\u800c\uff0c\u4f20\u7edf\u7684\u96c6\u4e2d\u5f0f\u65b9\u6cd5\u5f80\u5f80\u53d7\u9650\u4e8e\u9ad8\u901a\u4fe1\u6210\u672c\u548c\u8ba1\u7b97\u590d\u6742\u5ea6\uff0c\u96be\u4ee5\u6ee1\u8db3\u5b9e\u9645\u9700\u6c42\u3002\u8fd1\u671f\u53d1\u8868\u5728 Nature Machine Intelligence<\/em> <\/em>\u4e0a\u7684\u4e00\u7bc7\u7814\u7a76\uff0c\u63d0\u51fa\u4e86\u4e00\u79cd\u57fa\u4e8e\u6a21\u578b\u7684\u5206\u5e03\u5f0f\u7b56\u7565\u4f18\u5316\u6846\u67b6\uff0c<\/strong>\u4ee5\u591a\u667a\u80fd\u4f53\u5f3a\u5316\u5b66\u4e60<\/span>\uff08MARL\uff09<\/span>\u4e3a\u6838\u5fc3\uff0c\u901a\u8fc7\u5206\u5e03\u5f0f\u5b66\u4e60\u548c\u90e8\u5206\u53ef\u89c2\u6d4b\u9a6c\u5c14\u53ef\u592b\u51b3\u7b56\u8fc7\u7a0b<\/span>\uff08MDP\uff09<\/span>\u7684\u521b\u65b0\u5e94\u7528\uff0c\u5b9e\u73b0\u5bf9\u5927\u89c4\u6a21\u7f51\u7edc\u7cfb\u7edf\u7684\u9ad8\u6548\u63a7\u5236\u3002<\/span><\/p>\n


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\u56fe 1. \u7814\u7a76\u65b9\u6cd5\u67b6\u6784\uff0c\u4e0d\u540cMDP\u4e4b\u95f4\u7684\u533a\u522b\u548c\u8054\u7cfb\uff0c\u4ee5\u53ca\u6a21\u578b\u5b66\u4e60\u8fc7\u7a0b\u3002(a) \u7b97\u6cd5\u5305\u62ec\u5206\u5e03\u5f0f\u7b56\u7565\u3001\u4ef7\u503c\u51fd\u6570\u3001\u6a21\u578b\u3001\u6a21\u578b\u7f13\u51b2\u548c\u73af\u5883\u7f13\u51b2\u90e8\u5206\u3002\u7ea2\u8272\u7bad\u5934\u7a81\u51fa\u4e86\u4e3b\u8981\u6b65\u9aa4\uff0c\u5305\u62ec\u4ece\u6a21\u578b\u548c\u5b9e\u9645\u73af\u5883\u4e2d\u5bf9\u7b56\u7565\u548c\u6a21\u578b\u5b66\u4e60\u8fdb\u884c\u7ecf\u9a8c\u91c7\u6837\u3002\u6a21\u578b\u6846\u67b6\u91c7\u7528\u5d4c\u5165\u5c42\u8fdb\u884c\u72b6\u6001\u548c\u52a8\u4f5c\u7279\u5f81\u63d0\u53d6\uff0c\u7136\u540e\u57fa\u4e8e\u56fe\u7f51\u7edc\u62d3\u6251\u8fdb\u884c\u5408\u5e76\u3002(b) \u7f51\u7edcMDP\u3001\u539f\u59cbMDP\u548c\u6a21\u578bMDP\u4e2d\u4e0d\u540cp\u7684\u533a\u522b\u548c\u8054\u7cfb\u3002(c) \u4e0d\u540c\u7684D\u6784\u6210\u4e09\u89d2\u4e0d\u7b49\u5f0f\u5173\u7cfb\uff0c\u6a21\u578b\u5b66\u4e60\u7684\u4e3b\u8981\u76ee\u6807\u662f\u6700\u5c0f\u5316\u72ec\u7acb\u903c\u8fd1\u8bef\u5dee\uff0c\u4ee5\u51cf\u5c0f\u6a21\u578b\u8bef\u5dee\u4e0e\u4f9d\u8d56\u504f\u5dee\u4e4b\u95f4\u7684\u5dee\u5f02\u3002(d) \u5728\u73b0\u5b9e\u4e16\u754c\u7684\u590d\u6742\u7cfb\u7edf\u4e2d\uff0c\u6211\u4eec\u8bc1\u660e\u4e86\u03be\u7684\u503c\u90fd\u662f\u5c0f\u6b63\u503c\u3002(e) \u6a21\u578b\u5b66\u4e60\u7684\u8fc7\u7a0b\u5305\u62ec\u4ece\u6a21\u578b\u7f13\u51b2\u533a\u4e2d\u91c7\u6837\u8f68\u8ff9\u8fdb\u884c\u591a\u6b21\u8fed\u4ee3\u5b66\u4e60\u3002<\/span><\/section>\n


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\u8be6\u60c5\u8bf7\u89c1\uff1a<\/span><\/section>\n

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\u63a8\u8350\u9605\u8bfb<\/span><\/strong><\/strong><\/strong><\/section>\n
1. <\/strong>\u5982\u4f55\u5728\u6709\u9650\u89c2\u6d4b\u4e0b\u63a8\u65ad\u7cfb\u7edf\u72b6\u6001\uff1f\u5927\u89c4\u6a21\u7f51\u7edc\u7684\u529f\u80fd\u53ef\u89c2\u6d4b\u6027\u4e0e\u76ee\u6807\u72b6\u6001\u4f30\u8ba1<\/a><\/strong><\/span><\/strong><\/section>\n
2. <\/strong>PRL \u901f\u9012\uff1a\u9ad8\u6548\u901a\u4fe1\u91cf\u5b50\u7b97\u6cd5\u7528\u4e8e\u5206\u5e03\u5f0f\u673a\u5668\u5b66\u4e60<\/a><\/strong><\/span><\/strong><\/strong><\/section>\n
3. <\/strong>PNAS\u901f\u9012\uff1a\u8681\u7fa4\u5206\u5e03\u5f0f\u7b97\u6cd5\u89e3\u51b3\u6700\u77ed\u8def\u5f84\u95ee\u9898<\/a><\/strong><\/span><\/strong><\/section>\n
4. <\/strong><\/span>\u5f20\u6c5f\uff1a\u7b2c\u4e09\u4ee3\u4eba\u5de5\u667a\u80fd\u6280\u672f\u57fa\u7840\u2014\u2014\u4ece\u53ef\u5fae\u5206\u7f16\u7a0b\u5230\u56e0\u679c\u63a8\u7406 | \u96c6\u667a\u5b66\u56ed\u5168\u65b0\u8bfe\u7a0b<\/a><\/strong><\/strong><\/span><\/section>\n
<\/strong>5. <\/strong>\u9f99\u5e74\u5927\u8fd0\u8d77\uff0c\u5b66\u4e60\u6b63\u5f53\u65f6\uff01\u89e3\u9501\u96c6\u667a\u5168\u7ad9\u5185\u5bb9\uff0c\u5f00\u542f\u65b0\u5e74\u5b66\u4e60\u8ba1\u5212<\/a><\/strong><\/section>\n

6. <\/strong>\u52a0\u5165\u96c6\u667a\uff0c\u4e00\u8d77\u590d\u6742\uff01<\/strong><\/span><\/a><\/p>\n


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\u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u62a5\u540d\u8bfb\u4e66\u4f1a<\/span><\/section>\n

<\/mp-style-type><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

\u5173\u952e\u8bcd\uff1a\u5f3a\u5316\u5b66\u4e60\uff0c\u5927\u89c4\u6a21\u7f51\u7edc\u63a7\u5236\uff0c\u591a\u667a\u80fd\u4f53\uff0c\u9a6c\u5c14\u53ef\u592b\u51b3\u7b56\u8fc7\u7a0b\uff0c\u5206\u5e03\u5f0f\u65b9\u6cd5 \u8bba\u6587\u9898\u76ee\uff1aEfficient and scalable reinforcement learning for large-scale network control \u8bba\u6587\u5730\u5740\uff1ahttps:\/\/www.nature.com\/ar…<\/p>\n","protected":false},"author":0,"featured_media":53933,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"special":[],"_links":{"self":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/53939"}],"collection":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=53939"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/53939\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/53933"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=53939"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=53939"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=53939"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=53939"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}