{"id":1071018,"date":"2023-02-09T01:03:00","date_gmt":"2023-02-09T09:03:00","guid":{"rendered":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/?post_type=msr-blog-post&#038;p=1071018"},"modified":"2024-09-25T03:29:39","modified_gmt":"2024-09-25T10:29:39","slug":"aaai-2023-industrial-applicable-ai","status":"publish","type":"msr-blog-post","link":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/articles\/aaai-2023-industrial-applicable-ai\/","title":{"rendered":"AAAI 2023 | \u5de5\u4e1a\u5e94\u7528\u9886\u57df\u5185\uff0c\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u7684\u6700\u65b0\u5b66\u672f\u6210\u679c"},"content":{"rendered":"\n<p>\u7f16\u8005\u6309\uff1a\u7531\u7f8e\u56fd\u4eba\u5de5\u667a\u80fd\u534f\u4f1a\u4e3b\u529e\u7684 AAAI \u662f\uff08Association for the Advance of Artificial Intelligence\uff09\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684\u9876\u7ea7\u5b66\u672f\u4f1a\u8bae\u4e4b\u4e00\u3002\u672c\u5e74\u5ea6\u7684 AAAI \u5927\u4f1a\u4e8e2\u67087\u65e5\u81f32\u670814\u65e5\u4e3e\u529e\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u4e5f\u6709\u591a\u7bc7\u8bba\u6587\u5165\u9009\uff0c\u8ba8\u8bba\u7684\u4e3b\u9898\u5305\u542b\uff1a\u5de5\u4e1a\u5e94\u7528\u4e2d\u7684\u4eba\u5de5\u667a\u80fd\u3001\u4eba\u5de5\u667a\u80fd\u7406\u8bba\u3001\u8d1f\u8d23\u4efb\u7684\u4eba\u5de5\u667a\u80fd\u548c\u4eba\u5de5\u667a\u80fd\u521b\u4f5c\u7b49\u3002\u6b22\u8fce\u8ddf\u968f\u672c\u671f\u6587\u7ae0\uff0c\u901f\u89c8\u5de5\u4e1a\u5e94\u7528\u9886\u57df\u5185\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u7684\u6700\u65b0\u5b66\u672f\u6210\u679c\u3002<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"\u9488\u5bf9\u4ece\u79bb\u7ebf\u5230\u5728\u7ebf\u5f3a\u5316\u5b66\u4e60\u7684\u81ea\u9002\u5e94\u7b56\u7565\u5b66\u4e60\">\u9488\u5bf9\u4ece\u79bb\u7ebf\u5230\u5728\u7ebf\u5f3a\u5316\u5b66\u4e60\u7684\u81ea\u9002\u5e94\u7b56\u7565\u5b66\u4e60<\/h3>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"610\" height=\"149\" src=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-1.png\" alt=\"paper screenshot\" class=\"wp-image-1071090\" srcset=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-1.png 610w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-1-300x73.png 300w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-1-240x59.png 240w\" sizes=\"auto, (max-width: 610px) 100vw, 610px\" \/><\/figure>\n\n\n\n<p>\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/newed.any0.dpdns.org\/en-us\/research\/publication\/adaptive-policy-learning-for-offline-to-online-reinforcement-learning\/<\/p>\n\n\n\n<p>\u5f53\u524d\uff0c\u5f3a\u5316\u5b66\u4e60\u9886\u57df\u4e3b\u8981\u6709\u4e24\u4e2a\u5206\u652f\uff1a\u79bb\u7ebf\uff08offline\uff09\u5f3a\u5316\u5b66\u4e60\u548c\u5728\u7ebf\uff08online\uff09\u5f3a\u5316\u5b66\u4e60\u3002\u524d\u8005\u5173\u6ce8\u5728\u6ca1\u6709\u4ea4\u4e92\u73af\u5883\u7684\u60c5\u51b5\u4e0b\uff0c\u4ec5\u51ed\u79bb\u7ebf\u6570\u636e\u96c6\u8bad\u7ec3\u667a\u80fd\u4f53\uff1b\u540e\u8005\u5219\u662f\u901a\u8fc7\u548c\u73af\u5883\u4ea4\u4e92\u7684\u65b9\u5f0f\u6765\u8bad\u7ec3\u667a\u80fd\u4f53\u3002\u7136\u800c\u5728\u73b0\u5b9e\u4e2d\uff0c\u79bb\u7ebf\u6570\u636e\u96c6\u5e76\u4e0d\u5b8c\u5907\uff0c\u53ea\u901a\u8fc7\u4e4b\u524d\u7684\u6570\u636e\u4e0d\u80fd\u8bad\u7ec3\u51fa\u6700\u4f18\u667a\u80fd\u4f53\u3002\u5728\u7ebf\u5f3a\u5316\u5b66\u4e60\u867d\u7136\u53ef\u4ee5\u5f97\u5230\u65e0\u9650\u7684\u6570\u636e\uff0c\u4f46\u56e0\u4e3a\u5728\u7ebf\u63a2\u7d22\u7684\u96be\u5ea6\u8f83\u5927\uff0c\u6240\u4ee5\u5f80\u5f80\u9700\u8981\u5de8\u5927\u7684\u5728\u7ebf\u63a2\u7d22\u6837\u672c\u3002<\/p>\n\n\n\n<p>\u672c\u5de5\u4f5c\u5173\u6ce8\u4e86\u4e24\u4e2a\u9886\u57df\u7684\u7ed3\u5408\u65b9\u5411\uff0c\u5373\u9996\u5148\u901a\u8fc7\u79bb\u7ebf\u7684\u65b9\u6cd5\u8fdb\u884c\u9884\u8bad\u7ec3\uff0c\u7136\u540e\u5728\u8fdb\u884c\u5728\u7ebf\u5b66\u4e60\u3002\u7814\u7a76\u5458\u4eec\u63d0\u4f9b\u4e86\u7ed3\u5408\u8fd9\u4e24\u7c7b\u65b9\u6cd5\u7684\u4e00\u79cd\u7b80\u5355\u7b56\u7565\uff1a\u901a\u8fc7\u5bf9\u79bb\u7ebf\u6570\u636e\u548c\u5728\u7ebf\u6570\u636e\u8fdb\u884c\u533a\u5206\uff0c\u5728\u5b66\u4e60\u7684\u65f6\u5019\u91c7\u53d6\u4e0d\u540c\u7684\u66f4\u65b0\u7b56\u7565\u6765\u66f4\u5927\u9650\u5ea6\u5730\u63d0\u9ad8\u5b66\u4e60\u6548\u7387\u3002\u672c\u65b9\u6cd5\u80fd\u591f\u4fbf\u5229\u5730\u5e94\u7528\u4e8e\u5f53\u524d\u6d41\u884c\u7684\u79bb\u7ebf\u5f3a\u5316\u5b66\u4e60\u65b9\u6cd5\u3002<\/p>\n\n\n\n<p><\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"554\" height=\"349\" src=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-2.png\" alt=\"\u56fe1\uff1a\u81ea\u9002\u5e94\u7b56\u7565\u5b66\u4e60\u65b9\u6cd5\" class=\"wp-image-1071093\" srcset=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-2.png 554w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-2-300x189.png 300w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-2-240x151.png 240w\" sizes=\"auto, (max-width: 554px) 100vw, 554px\" \/><figcaption class=\"wp-element-caption\">\u56fe1\uff1a\u81ea\u9002\u5e94\u7b56\u7565\u5b66\u4e60\u65b9\u6cd5<\/figcaption><\/figure>\n\n\n\n<p id=\"caption-attachment-44147\"><\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-tsp-\u4e00\u79cd\u89e3\u51b3\u5927\u89c4\u6a21\u65c5\u884c\u5546\u95ee\u9898\u7684\u5206\u5c42\u5f3a\u5316\u5b66\u4e60\u7b97\u6cd5\">H-TSP\uff1a\u4e00\u79cd\u89e3\u51b3\u5927\u89c4\u6a21\u65c5\u884c\u5546\u95ee\u9898\u7684\u5206\u5c42\u5f3a\u5316\u5b66\u4e60\u7b97\u6cd5<\/h3>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"692\" height=\"159\" src=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-3.png\" alt=\"paper screenshot\" class=\"wp-image-1071096\" srcset=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-3.png 692w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-3-300x69.png 300w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-3-240x55.png 240w\" sizes=\"auto, (max-width: 692px) 100vw, 692px\" \/><\/figure>\n\n\n\n<p>\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/newed.any0.dpdns.org\/en-us\/research\/publication\/h-tsp-hierarchically-solving-the-large-scale-traveling-salesman-problem\/<\/p>\n\n\n\n<p>\u65c5\u884c\u5546\u95ee\u9898\u662f\u8457\u540d\u7684 NP 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H-TSP \u6765\u89e3\u51b3\u6b64\u95ee\u9898\u3002\u8be5\u65b9\u6cd5\u5305\u542b\u4e24\u5c42\u7b56\u7565\uff1a\u4e0a\u5c42\u7b56\u7565\u7528\u4e8e\u5c06\u539f\u59cb\u7684\u89c4\u6a21\u8f83\u5927\u7684\u95ee\u9898\u62c6\u89e3\u6210\u591a\u4e2a\u89c4\u6a21\u8f83\u5c0f\u7684\u5b50\u95ee\u9898\uff1b\u4e0b\u5c42\u7b56\u7565\u89e3\u51b3\u6bcf\u4e2a\u5b50\u95ee\u9898\u5e76\u5c06\u5b50\u65b9\u6848\u5408\u5e76\u5f62\u6210\u539f\u59cb\u95ee\u9898\u7684\u89e3\u51b3\u65b9\u6848\u3002\u901a\u8fc7\u5b9e\u9a8c\u5bf9\u6bd4\u53d1\u73b0\uff0cH-TSP 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class=\"wp-image-1071099\" srcset=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-4.png 583w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-4-300x148.png 300w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-4-240x118.png 240w\" sizes=\"auto, (max-width: 583px) 100vw, 583px\" \/><figcaption class=\"wp-element-caption\">\u56fe2\uff1aH-TSP \u65b9\u6cd5\u7684\u6d41\u7a0b\u56fe\uff0c\u7531\u4e0a\u5c42\u7b56\u7565\uff08upper model\uff09)\u548c\u4e0b\u5c42\u7b56\u7565\uff08lower model\uff09\u7ec4<\/figcaption><\/figure>\n\n\n\n<p><\/p>\n\n\n\n<p id=\"caption-attachment-44149\"><\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"pointerformer-\u4e00\u79cd\u57fa\u4e8e\u591a\u6307\u9488transformer\u7684\u89e3\u51b3\u65c5\u884c\u5546\u95ee\u9898\u7684\u6df1\u5ea6\u5f3a\u5316\u5b66\u4e60\u65b9\u6cd5\">Pointerformer\uff1a\u4e00\u79cd\u57fa\u4e8e\u591a\u6307\u9488Transformer\u7684\u89e3\u51b3\u65c5\u884c\u5546\u95ee\u9898\u7684\u6df1\u5ea6\u5f3a\u5316\u5b66\u4e60\u65b9\u6cd5<\/h3>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"677\" height=\"167\" src=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-5.png\" alt=\"paper screenshot\" class=\"wp-image-1071102\" srcset=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-5.png 677w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-5-300x74.png 300w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-5-240x59.png 240w\" sizes=\"auto, (max-width: 677px) 100vw, 677px\" \/><\/figure>\n\n\n\n<p>\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/newed.any0.dpdns.org\/en-us\/research\/publication\/pointerformer-deep-reinforced-multi-pointer-transformer-for-the-traveling-salesman-problem\/<\/p>\n\n\n\n<p>\u968f\u7740\u6df1\u5ea6\u5f3a\u5316\u5b66\u4e60\u5728\u8d8a\u6765\u8d8a\u591a\u7684\u95ee\u9898\u4e0a\u90fd\u53d6\u5f97\u4e86\u8f83\u597d\u7684\u6548\u679c\uff0c\u5176\u4e5f\u88ab\u5e94\u7528\u5230\u4e86\u4e00\u4e9b\u7ecf\u5178\u7684\u7ec4\u5408\u4f18\u5316\u95ee\u9898\u4e2d\uff0c\u6bd4\u5982\u65c5\u884c\u5546\u95ee\u9898\u3002\u867d\u7136\u6587\u732e\u4e2d\u63d0\u51fa\u4e86\u4f17\u591a\u4e0d\u540c\u7684\u65b9\u6cd5\uff0c\u4f46\u603b\u7684\u6765\u8bf4\u53ef\u4ee5\u5c06\u5176\u5f52\u4e3a\u4e24\u7c7b\uff1a\u57fa\u4e8e\u641c\u7d22\u4ee5\u53ca\u7aef\u5230\u7aef\u7684\u65b9\u6cd5\u3002\u57fa\u4e8e\u641c\u7d22\u7684\u65b9\u6cd5\u901a\u5e38\u7ed3\u5408\u4e00\u4e9b\u542f\u53d1\u5f0f\u7684\u641c\u7d22\u7b56\u7565\uff0c\u80fd\u591f\u53d6\u5f97\u8f83\u597d\u7684\u6548\u679c\uff0c\u4f46\u662f\u641c\u7d22\u672c\u8eab\u4f1a\u6d88\u8017\u5927\u91cf\u7684\u65f6\u95f4\uff0c\u4f7f\u5f97\u8fd9\u7c7b\u65b9\u6cd5\u7684\u6548\u7387\u8f83\u4f4e\uff1b\u53e6\u4e00\u65b9\u9762\uff0c\u7aef\u5230\u7aef\u7684\u65b9\u6cd5\u53ef\u4ee5\u76f4\u63a5\u751f\u6210\u89e3\u51b3\u65b9\u6848\uff0c\u56e0\u6b64\u53ef\u4ee5\u5728\u5f88\u77ed\u7684\u65f6\u95f4\u5185\u7ed9\u51fa\u7b54\u6848\uff0c\u4f46\u662f\u7531\u4e8e\u5b66\u4e60\u672c\u8eab\u7684\u590d\u6742\u6027\u4f7f\u5f97\u8fd9\u7c7b\u65b9\u6cd5\u4ec5\u5728\u6570\u767e\u4e2a\u8282\u70b9\u7684\u95ee\u9898\u4e2d\u6548\u679c\u663e\u8457\uff0c\u5f88\u96be\u6269\u5c55\u5230\u66f4\u5927\u89c4\u6a21\u7684\u95ee\u9898\u4e0a\u3002<\/p>\n\n\n\n<p>\u5728\u66f4\u5927\u89c4\u6a21\u95ee\u9898\u4e0a\u5e94\u7528\u7aef\u5230\u7aef\u7684\u65b9\u6cd5\u7684\u963b\u788d\u4e3b\u8981\u6709\u4e24\u70b9\uff1a\u5185\u5b58\u7684\u6d88\u8017\u548c\u5b66\u4e60\u7684\u6548\u7387\u3002\u9488\u5bf9\u8fd9\u4e24\u70b9\uff0c\u672c\u6587\u63d0\u51fa\u4e86\u4e00\u4e2a\u65b0\u7684\u7528\u4ee5\u6c42\u89e3\u8f83\u5927\u89c4\u6a21\u7684\u65c5\u884c\u5546\u95ee\u9898\u7aef\u5230\u7aef\u7684\u65b9\u6cd5 Pointerformer\u3002\u7814\u7a76\u5458\u4eec\u91c7\u7528\u4e86\u5360\u7528\u5185\u5b58\u8f83\u5c0f\u7684\u53ef\u9006\u6b8b\u5dee\u7f51\u7edc\u548c\u591a\u5934 Transformer\uff0c\u7ed3\u5408\u5982\u7279\u5f81\u589e\u5f3a\u3001\u6269\u5c55\u7684\u8282\u70b9\u4e0a\u4e0b\u6587\u7b49\u7b56\u7565\u3002Pointerformer \u65b9\u6cd5\u80fd\u591f\u6269\u5c55\u5230\u5305\u542b\u6570\u5343\u4e2a\u8282\u70b9\u7684\u95ee\u9898\u4e0a\u5e76\u53d6\u5f97\u8f83\u597d\u7684\u6548\u679c\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"687\" height=\"414\" src=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-6.png\" alt=\"\u56fe3\uff1aPointerformer \u65b9\u6cd5\u6d41\u7a0b\u56fe\uff0cEncoder \u751f\u6210\u8282\u70b9\u7684\u5d4c\u5165\u4fe1\u606f\uff0cDecoder \u7ed3\u5408\u4e0a\u4e0b\u6587\u4fe1\u606f\u751f\u6210\u89e3\u51b3\u65b9\u6848\" class=\"wp-image-1071105\" srcset=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-6.png 687w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-6-300x181.png 300w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-6-240x145.png 240w\" sizes=\"auto, (max-width: 687px) 100vw, 687px\" \/><figcaption class=\"wp-element-caption\">\u56fe3\uff1aPointerformer \u65b9\u6cd5\u6d41\u7a0b\u56fe\uff0cEncoder \u751f\u6210\u8282\u70b9\u7684\u5d4c\u5165\u4fe1\u606f\uff0cDecoder \u7ed3\u5408\u4e0a\u4e0b\u6587\u4fe1\u606f\u751f\u6210\u89e3\u51b3\u65b9\u6848<\/figcaption><\/figure>\n\n\n\n<p><\/p>\n\n\n\n<p id=\"caption-attachment-44151\"><\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"\u7528\u4e8e\u591a\u53d8\u91cf\u65f6\u95f4\u5e8f\u5217\u5efa\u6a21\u7684\u7a7a\u95f4\u5173\u7cfb\u5206\u89e3\">\u7528\u4e8e\u591a\u53d8\u91cf\u65f6\u95f4\u5e8f\u5217\u5efa\u6a21\u7684\u7a7a\u95f4\u5173\u7cfb\u5206\u89e3<\/h3>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"685\" height=\"182\" src=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-7.png\" alt=\"paper screenshot\" class=\"wp-image-1071108\" srcset=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-7.png 685w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-7-300x80.png 300w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-7-240x64.png 240w\" sizes=\"auto, (max-width: 685px) 100vw, 685px\" \/><\/figure>\n\n\n\n<p>\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/newed.any0.dpdns.org\/en-us\/research\/publication\/learning-decomposed-spatial-relations-for-multi-variate-time-series-modeling\/<\/p>\n\n\n\n<p>\u591a\u53d8\u91cf\u65f6\u95f4\u5e8f\u5217\u5efa\u6a21\uff08Multi-variate time-series modeling\uff09\u5728\u91d1\u878d\u3001\u6c14\u8c61\u3001\u4ea4\u901a\u7b49\u9886\u57df\u90fd\u5f97\u5230\u4e86\u5e7f\u6cdb\u7684\u5e94\u7528\u3002\u8bb8\u591a\u8fd0\u7528\u56fe\u4e0e\u56fe\u795e\u7ecf\u7f51\u7edc\u6765\u8868\u5f81\u53d8\u91cf\u95f4\u7a7a\u95f4\u5173\u7cfb\u7684\u65b9\u6cd5\u90fd\u53d6\u5f97\u4e86\u4e0d\u4fd7\u7684\u6548\u679c\u3002<\/p>\n\n\n\n<p>\u4f46\u73b0\u6709\u7684\u7a7a\u95f4\u5173\u7cfb\u5efa\u6a21\u65b9\u6848\u4ecd\u5b58\u5728\u4e00\u4e9b\u95ee\u9898\uff0c\u90e8\u5206\u65b9\u6cd5\u9700\u8981\u6570\u636e\u4e2d\u63d0\u4f9b\u53d8\u91cf\u95f4\u7684\u7a7a\u95f4\u5173\u7cfb\uff0c\u4ece\u800c\u5bfc\u81f4\u5229\u7528\u8303\u56f4\u88ab\u9650\u5236\u3002\u53e6\u4e00\u4e9b\u65b9\u6cd5\u901a\u8fc7\u56fe\u7ed3\u6784\u5b66\u4e60\u4ece\u65f6\u5e8f\u6570\u636e\u4e2d\u6316\u6398\u7a7a\u95f4\u4fe1\u606f\uff0c\u4f46\u5f80\u5f80\u5bf9\u6574\u4e2a\u6570\u636e\u96c6\u4ec5\u7528\u5355\u4e00\u9759\u6001\u56fe\u5efa\u6a21\uff0c\u65e0\u6cd5\u7075\u6d3b\u5efa\u6a21\uff0c\u56e0\u6b64\u6570\u636e\u4e2d\u5f88\u53ef\u80fd\u5b58\u5728\u4e0d\u65ad\u53d8\u5316\u7684\u53d8\u91cf\u95f4\u5173\u7cfb\u3002<\/p>\n\n\n\n<p>\u4e3a\u4e86\u89e3\u51b3\u4e0a\u8ff0\u95ee\u9898\uff0c\u672c\u6587\u63d0\u51fa\u4e86\u4e00\u79cd\u591a\u53d8\u91cf\u65f6\u95f4\u5e8f\u5217\u4e2d\u7a7a\u95f4\u5173\u7cfb\u5206\u89e3\u6846\u67b6\uff08spatial relation decomposition framework\uff0c\u7b80\u79f0 SRD\uff09\uff0c\u5c06\u53d8\u91cf\u95f4\u7684\u7a7a\u95f4\u5173\u7cfb\u5206\u89e3\u4e3a\u52a8\u6001\u548c\u9759\u6001\u4e24\u90e8\u5206\uff0c\u5e76\u5206\u522b\u7528\u4e00\u4e2a\u5148\u9a8c\u56fe\uff08prior graph\uff09\u548c\u52a8\u6001\u56fe\uff08dynamic graph\uff09\u6765\u8868\u793a\u3002\u4e3a\u4e86\u66f4\u597d\u7684\u534f\u8c03\u4e24\u4e2a\u56fe\u7684\u5b66\u4e60\uff0c\u672c\u6587\u91c7\u7528\u4e86 Min-Max \u5b66\u4e60\u7684\u7b56\u7565\uff0c\u5728\u66f4\u597d\u5efa\u6a21\u52a8\u6001\u9759\u6001\u4e24\u90e8\u5206\u7a7a\u95f4\u5173\u7cfb\u7684\u540c\u65f6\uff0c\u4fdd\u8bc1\u4e86\u8bad\u7ec3\u6548\u7387\u3002\u5728\u591a\u53d8\u91cf\u65f6\u95f4\u5e8f\u5217\u9884\u6d4b\uff08forecasting\uff09\u548c\u70b9\u9884\u4f30\uff08point prediction\uff09\u4efb\u52a1\u4e0a\uff0cSRD \u90fd\u8d85\u8d8a\u4e86\u5df2\u6709\u7684\u65b9\u6cd5\u3002\u8fdb\u4e00\u6b65\u7684\u5b9e\u9a8c\u5206\u6790\u8868\u660e\uff0c\u5148\u9a8c\u56fe\u548c\u52a8\u6001\u56fe\u5bf9\u539f\u6570\u636e\u4e2d\u52a8\u6001\u548c\u9759\u6001\u7684\u7a7a\u95f4\u5173\u7cfb\u8fdb\u884c\u4e86\u5408\u7406\u7684\u5206\u89e3\u548c\u5efa\u6a21\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"865\" src=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-8-1024x865.jpg\" alt=\"\u56fe4\uff1a(a)\u56fe\u5b66\u4e60\u6846\u67b6\uff1b(b)\u6574\u4f53\u7f51\u7edc\u7ed3\u6784\" class=\"wp-image-1071111\" srcset=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-8-1024x865.jpg 1024w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-8-300x254.jpg 300w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-8-768x649.jpg 768w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-8-1536x1298.jpg 1536w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-8-2048x1731.jpg 2048w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-8-213x180.jpg 213w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">\u56fe4\uff1a(a)\u56fe\u5b66\u4e60\u6846\u67b6\uff1b(b)\u6574\u4f53\u7f51\u7edc\u7ed3\u6784<\/figcaption><\/figure>\n\n\n\n<p><\/p>\n\n\n\n<p id=\"caption-attachment-44153\"><\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"multispider-\u9762\u5411\u591a\u8bed\u8a00text-to-sql\u8bed\u4e49\u89e3\u6790\u4efb\u52a1\u7684\u6570\u636e\u96c6\">MultiSpider: \u9762\u5411\u591a\u8bed\u8a00Text-to-SQL\u8bed\u4e49\u89e3\u6790\u4efb\u52a1\u7684\u6570\u636e\u96c6<\/h3>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"243\" src=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-9-1024x243.png\" alt=\"paper screenshot\" class=\"wp-image-1071114\" srcset=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-9-1024x243.png 1024w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-9-300x71.png 300w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-9-768x182.png 768w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-9-240x57.png 240w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-9.png 1029w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/abs\/2212.13492<\/p>\n\n\n\n<p>Text-to-SQL \u8bed\u4e49\u89e3\u6790\u662f\u4e00\u9879\u91cd\u8981\u7684 NLP \u4efb\u52a1\uff0c\u6781\u5927\u7684\u65b9\u4fbf\u4e86\u7528\u6237\u548c\u6570\u636e\u5e93\u4e4b\u95f4\u7684\u4ea4\u4e92\uff0c\u6210\u4e3a\u8bb8\u591a\u4eba\u673a\u4ea4\u4e92\u7cfb\u7edf\u7684\u5173\u952e\u7ec4\u6210\u90e8\u5206\u3002Text-to-SQL \u7814\u7a76\u5de5\u4f5c\u7684\u6700\u65b0\u8fdb\u5c55\u4e00\u76f4\u7531\u5927\u89c4\u6a21\u6570\u636e\u96c6\u9a71\u52a8\uff0c\u4f46\u5176\u4e2d\u5927\u591a\u6570\u4ee5\u82f1\u8bed\u4e3a\u4e2d\u5fc3\u3002<\/p>\n\n\n\n<p>\u5bf9\u6b64\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u7684\u7814\u7a76\u5458\u4eec\u63d0\u51fa\u4e86\u76ee\u524d\u6700\u5927\u7684\u591a\u8bed\u8a00 Text-to-SQL \u6570\u636e\u96c6 MultiSpider\uff0c\u6db5\u76d6\u4e03\u79cd\u8bed\u8a00\uff08\u82f1\u8bed\u3001\u5fb7\u8bed\u3001\u6cd5\u8bed\u3001\u897f\u73ed\u7259\u8bed\u3001\u65e5\u8bed\u3001\u4e2d\u6587\u548c\u8d8a\u5357\u8bed\uff09\u3002<\/p>\n\n\n\n<p>\u5728\u6b64\u57fa\u7840\u4e0a\uff0c\u7814\u7a76\u5458\u4eec\u5728\u4e09\u79cd\u5178\u578b\u5b9e\u9a8c\u8bbe\u7f6e\uff08\u96f6\u6837\u672c\u3001\u5355\u8bed\u548c\u591a\u8bed\u8a00\uff09\u4e0b\u7684\u7ed3\u679c\u8868\u660e\uff0c\u76f8\u5bf9\u4e8e\u82f1\u8bed\uff0c\u975e\u82f1\u8bed\u8bed\u8a00\u7684\u5e73\u5747\u51c6\u786e\u6027\u4e0b\u964d\u4e866.1% \u3002\u901a\u8fc7\u5b9a\u6027\u548c\u5b9a\u91cf\u5206\u6790\uff0c\u7814\u7a76\u5458\u4eec\u8fdb\u4e00\u6b65\u63a2\u7a76\u4e86\u5176\u80cc\u540e\u7684\u539f\u56e0\uff1aText-to-SQL \u4efb\u52a1\u7684\u4e24\u4e2a\u6311\u6218\u2014\u2014lexical mapping \u548c structural mapping\uff0c\u5728\u4e0d\u540c\u8bed\u8a00\u7684\u5177\u4f53\u8868\u73b0\u4ee5\u53ca\u5f3a\u5ea6\u3002\u9664\u4e86\u6570\u636e\u96c6\uff0c\u4e3a\u4e86\u89e3\u51b3 lexical \u65b9\u9762\u7684\u6311\u6218\uff0c\u7814\u7a76\u5458\u4eec\u8fd8\u63d0\u51fa\u4e86\u4e00\u4e2a\u7b80\u5355\u901a\u7528\u7684\u6570\u636e\u589e\u5f3a\u6846\u67b6 SAVE (Schema-Augmentation-with-Verification\uff09\uff0c\u4f7f\u5f97\u6240\u6709\u8bed\u8a00\u7684\u6574\u4f53\u51c6\u786e\u7387\u63d0\u9ad8\u4e861.8%\uff0c\u5e76\u4e14\u5c06\u4e0d\u540c\u8bed\u8a00\u95f4\u7684\u8868\u73b0\u5dee\u5f02\u51cf\u5c11\u4e8629.5%\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"864\" src=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-10-1024x864.png\" alt=\"\u56fe5\uff1aMultiSpider \u6570\u636e\u96c6\u793a\u4f8b\" class=\"wp-image-1071117\" srcset=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-10-1024x864.png 1024w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-10-300x253.png 300w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-10-768x648.png 768w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-10-213x180.png 213w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-10.png 1049w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">\u56fe5\uff1aMultiSpider \u6570\u636e\u96c6\u793a\u4f8b<\/figcaption><\/figure>\n\n\n\n<p><\/p>\n\n\n\n<p id=\"caption-attachment-44155\"><\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"\u8fc8\u5411\u63a8\u7406\u9ad8\u6548\u7684\u6df1\u5ea6\u96c6\u6210\u5b66\u4e60\">\u8fc8\u5411\u63a8\u7406\u9ad8\u6548\u7684\u6df1\u5ea6\u96c6\u6210\u5b66\u4e60<\/h3>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"462\" height=\"139\" src=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-11.png\" alt=\"paper screenshot\" class=\"wp-image-1071120\" srcset=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-11.png 462w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-11-300x90.png 300w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-11-240x72.png 240w\" sizes=\"auto, (max-width: 462px) 100vw, 462px\" \/><\/figure>\n\n\n\n<p>\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/arxiv.org\/abs\/2301.12378<br>\u9879\u76ee\u4e3b\u9875\uff1ahttps:\/\/seqml.github.io\/irene\/<\/p>\n\n\n\n<p>\u6df1\u5ea6\u96c6\u6210\u5b66\u4e60\u5728\u5e26\u6765\u4e86\u6027\u80fd\u63d0\u5347\u7684\u540c\u65f6\uff0c\u4e5f\u5e26\u6765\u4e86\u8f83\u9ad8\u7684\u63a8\u7406\u6210\u672c\uff0c\u4f46\u96c6\u6210\u63a8\u7406\u7684\u9ad8\u6548\u6027\u5374\u5f88\u5c11\u88ab\u8ba8\u8bba\u3002\u539f\u56e0\u4e4b\u4e00\u662f\u4eba\u4eec\u666e\u904d\u8ba4\u4e3a\u66f4\u591a\u7684\u6a21\u578b\u4f1a\u5e26\u6765\u66f4\u9ad8\u7684\u6027\u80fd\u6536\u76ca\u3002\u7136\u800c\uff0c\u7ecf\u7814\u7a76\u53d1\u73b0\uff0c\u6269\u5927\u96c6\u6210\u5b66\u4e60\u7684\u89c4\u6a21\u6240\u5e26\u6765\u7684\u6027\u80fd\u63d0\u5347\u5448\u8fb9\u9645\u6548\u5e94\u9012\u51cf\u3002\u6b64\u5916\uff0c\u4ee5\u5f80\u7684\u5de5\u4f5c\u4e3a\u52a0\u901f\u63a8\u7406\uff0c\u91c7\u7528\u542f\u53d1\u5f0f\u6807\u51c6\uff08\u5982\u7f6e\u4fe1\u5ea6\u9608\u503c\uff09\u6765\u51b3\u5b9a\u662f\u5426\u505c\u6b62\u63a8\u7406\uff0c\u4f46\u8fd9\u4e9b\u65b9\u6cd5\u6ca1\u6709\u5c06\u63a8\u7406\u6548\u7387\u4f5c\u4e3a\u4f18\u5316\u76ee\u6807\u7684\u4e00\u90e8\u5206\uff0c\u53ef\u80fd\u4ea7\u751f\u6b21\u4f18\u7684\u89e3\u51b3\u65b9\u6848\u3002<\/p>\n\n\n\n<p>\u56e0\u6b64\uff0c\u672c\u6587\u63d0\u51fa\u4e86\u4e00\u79cd\u63a8\u7406\u9ad8\u6548\u7684\u96c6\u6210\u5b66\u4e60\u65b9\u6cd5 Inference Efficient Ensemble\uff08IRENE \u610f\u4e3a\u548c\u5e73\u5973\u795e\uff09\uff0c\u4ee5\u5b9e\u73b0\u96c6\u6210\u5b66\u4e60\u6027\u80fd\u4e0e\u6548\u7387\u7684\u540c\u6b65\u4f18\u5316\u3002IRENE\u5c06\u6a21\u578b\u7684\u96c6\u6210\u89c6\u4e3a\u4e00\u4e2a\u5e8f\u5217\u51b3\u7b56\u95ee\u9898\uff0c\u5e76\u5b66\u4e60\u4e00\u4e2a\u5e8f\u5217\u9009\u62e9\u5668\u4ee5\u9884\u6d4b\u4efb\u610f\u6837\u672c\uff0c\u6700\u540e\u5b8c\u6210\u96c6\u6210\u6a21\u578b\u7684\u6700\u4f73\u63a8\u7406\u505c\u6b62\uff08inference halting\uff09\u6b65\u9aa4\u3002\u57fa\u7840\u6a21\u578b\u548c\u5e8f\u5217\u9009\u62e9\u5668\u88ab\u7cbe\u5fc3\u8bbe\u8ba1\u7684\u4f18\u5316\u76ee\u6807\u8054\u5408\u4f18\u5316\uff0c\u4f7f\u96c6\u6210\u63a8\u7406\u80fd\u591f\u9488\u5bf9\u4e0d\u540c\u96be\u5ea6\u7684\u6837\u672c\u8fdb\u884c\u52a8\u6001\u8c03\u6574\u3002\u5b9e\u9a8c\u8868\u660e\uff0cIRENE \u53ef\u4ee5\u964d\u4f4e\u9ad8\u8fbe56%\u7684\u63a8\u7406\u6210\u672c\uff0c\u540c\u65f6\u4fdd\u6301\u4e0e\u5b8c\u5168\u96c6\u6210\u76f8\u5f53\u7684\u6027\u80fd\uff0c\u5b9e\u73b0\u4e86\u660e\u663e\u4f18\u4e8e\u5176\u4ed6\u57fa\u7ebf\u7684\u96c6\u6210\u6548\u7528\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"639\" src=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-12-1024x639.jpg\" alt=\"\u56fe6\uff1a(a)IRENE \u7684\u987a\u5e8f\u63a8\u7406\u548c\u6700\u4f73\u505c\u6b62\u673a\u5236\uff1b(b)\u4e0d\u540c\u65b9\u6cd5\u7684\u5e15\u7d2f\u6258\u524d\u6cbf\" class=\"wp-image-1071123\" srcset=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-12-1024x639.jpg 1024w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-12-300x187.jpg 300w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-12-768x479.jpg 768w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-12-1536x959.jpg 1536w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-12-2048x1278.jpg 2048w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2024\/08\/aaai-2023-industrial-applicable-ai-12-240x150.jpg 240w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">\u56fe6\uff1a(a)IRENE \u7684\u987a\u5e8f\u63a8\u7406\u548c\u6700\u4f73\u505c\u6b62\u673a\u5236\uff1b(b)\u4e0d\u540c\u65b9\u6cd5\u7684\u5e15\u7d2f\u6258\u524d\u6cbf<\/figcaption><\/figure>\n\n\n\n<p><\/p>\n\n\n\n<p id=\"caption-attachment-44157\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u7f16\u8005\u6309\uff1a\u7531\u7f8e\u56fd\u4eba\u5de5\u667a\u80fd\u534f\u4f1a\u4e3b\u529e\u7684 AAAI \u662f\uff08Association for the Advance of Artificial Intelligence\uff09\u4eba\u5de5\u667a\u80fd\u9886\u57df\u7684\u9876\u7ea7\u5b66\u672f\u4f1a\u8bae\u4e4b\u4e00\u3002\u672c\u5e74\u5ea6\u7684 AAAI \u5927\u4f1a\u4e8e2\u67087\u65e5\u81f32\u670814\u65e5\u4e3e\u529e\uff0c\u5fae\u8f6f\u4e9a\u6d32\u7814\u7a76\u9662\u4e5f\u6709\u591a\u7bc7\u8bba\u6587\u5165\u9009\uff0c\u8ba8\u8bba\u7684\u4e3b\u9898\u5305\u542b\uff1a\u5de5\u4e1a\u5e94\u7528\u4e2d\u7684\u4eba\u5de5\u667a\u80fd\u3001\u4eba\u5de5\u667a\u80fd\u7406\u8bba\u3001\u8d1f\u8d23\u4efb\u7684\u4eba\u5de5\u667a\u80fd\u548c\u4eba\u5de5\u667a\u80fd\u521b\u4f5c\u7b49\u3002\u6b22\u8fce\u8ddf\u968f\u672c\u671f\u6587\u7ae0\uff0c\u901f\u89c8\u5de5\u4e1a\u5e94\u7528\u9886\u57df\u5185\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u7684\u6700\u65b0\u5b66\u672f\u6210\u679c\u3002 \u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/newed.any0.dpdns.org\/en-us\/research\/publication\/adaptive-policy-learning-for-offline-to-online-reinforcement-learning\/ \u5f53\u524d\uff0c\u5f3a\u5316\u5b66\u4e60\u9886\u57df\u4e3b\u8981\u6709\u4e24\u4e2a\u5206\u652f\uff1a\u79bb\u7ebf\uff08offline\uff09\u5f3a\u5316\u5b66\u4e60\u548c\u5728\u7ebf\uff08online\uff09\u5f3a\u5316\u5b66\u4e60\u3002\u524d\u8005\u5173\u6ce8\u5728\u6ca1\u6709\u4ea4\u4e92\u73af\u5883\u7684\u60c5\u51b5\u4e0b\uff0c\u4ec5\u51ed\u79bb\u7ebf\u6570\u636e\u96c6\u8bad\u7ec3\u667a\u80fd\u4f53\uff1b\u540e\u8005\u5219\u662f\u901a\u8fc7\u548c\u73af\u5883\u4ea4\u4e92\u7684\u65b9\u5f0f\u6765\u8bad\u7ec3\u667a\u80fd\u4f53\u3002\u7136\u800c\u5728\u73b0\u5b9e\u4e2d\uff0c\u79bb\u7ebf\u6570\u636e\u96c6\u5e76\u4e0d\u5b8c\u5907\uff0c\u53ea\u901a\u8fc7\u4e4b\u524d\u7684\u6570\u636e\u4e0d\u80fd\u8bad\u7ec3\u51fa\u6700\u4f18\u667a\u80fd\u4f53\u3002\u5728\u7ebf\u5f3a\u5316\u5b66\u4e60\u867d\u7136\u53ef\u4ee5\u5f97\u5230\u65e0\u9650\u7684\u6570\u636e\uff0c\u4f46\u56e0\u4e3a\u5728\u7ebf\u63a2\u7d22\u7684\u96be\u5ea6\u8f83\u5927\uff0c\u6240\u4ee5\u5f80\u5f80\u9700\u8981\u5de8\u5927\u7684\u5728\u7ebf\u63a2\u7d22\u6837\u672c\u3002 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