{"id":36914,"date":"2021-08-25T10:00:53","date_gmt":"2021-08-25T02:00:53","guid":{"rendered":"https:\/\/case.ntu.edu.tw\/blog\/?p=36914"},"modified":"2021-08-27T23:18:33","modified_gmt":"2021-08-27T15:18:33","slug":"%e7%84%a1%e7%94%a8%e4%b9%8b%e7%94%a8-ai%e4%b9%9f%e9%9c%80%e8%a6%81%e5%a4%9a%e5%85%83%e3%80%81%e9%81%a9%e6%80%a7%e7%99%bc%e5%b1%95","status":"publish","type":"post","link":"https:\/\/case.ntu.edu.tw\/blog\/?p=36914","title":{"rendered":"\u7121\u7528\u4e4b\u7528\u3000AI\u4e5f\u9700\u8981\u591a\u5143\u3001\u9069\u6027\u767c\u5c55"},"content":{"rendered":"<p><strong><span style=\"color: #333399;\">OpenAI\u8a2d\u8a08\u4e86\u4e00\u7cfb\u5217\u770b\u4f3c\u6c92\u6709\u5546\u696d\u5229\u7528\u50f9\u503c\u7684AI\u3002\u7136\u800c\u5b83\u5011\u662f\u771f\u7684\u6beb\u7121\u662f\u8655\uff1f\u9084\u662f\u6211\u5011\u770b\u4e0d\u898b\u5b83\u5011\u7684\u50f9\u503c\uff1f<\/span><\/strong><\/p>\n<p><strong>\u7de8\u8b6f\uff0f\u6c5f\u5f65\u6210\u3001\u9ec3\u601d\u9f4a<\/strong><\/p>\n<p><strong><span style=\"color: #008080;\">\u25cf<\/span><\/strong><strong><span style=\"color: #008080;\">\u9032\u64ca\u7684\u8d70\u8def\u6a5f<\/span><\/strong><\/p>\n<p style=\"text-align: center;\"><iframe title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/D1WWhQY9N4g\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n<p>\u8d70\u8def\u6a5f\u62d6\u8457\u7d2f\u8d05\u822c\u7684\u5de6\u817f\uff0c\u4e00\u8df3\u3001\u4e00\u8df3\u5730\u6296\u52d5\u524d\u9032\u8457\uff0c\u5e7e\u767e\u516c\u91cc\u4e4b\u5f8c\uff0c\u624d\u7d42\u65bc\u986b\u986b\u5dcd\u5dcd\u5730\u8d70\u51fa\u7b2c\u4e00\u6b65\u3002\u5b83\u7d93\u5e38\u5361\u5728\u659c\u5ea610\u5ea6\u7684\u5761\u9053\u4e0a\u52d5\u5f48\u4e0d\u5f97\uff0c\u9084\u7a31\u4e0d\u4e0a\u5b78\u6703\u8d70\u8def\u3002\u8d70\u8def\u6a5f\u7684\u5275\u9020\u8005\u2500\u2500Uber AI\u5be6\u9a57\u5ba4\u7684\u7814\u7a76\u54e1Rui Wang\u8207\u524d\u540c\u4e8bJeff Clune\u2500\u2500\u7fd2\u6163\u628a\u96fb\u8166\u958b\u6574\u591c\uff0c\u6eff\u61f7\u671f\u5f85\u5730\u5728\u9694\u5929\u4e0a\u73ed\u6642\u6253\u958b\u87a2\u5e55\uff0c\u770b\u770b\u8d70\u8def\u6a5f\u53c8\u6703\u6478\u7d22\u51fa\u4ec0\u9ebc\u51fa\u4e4e\u610f\u6599\u7684\u8d70\u8def\u65b9\u5f0f\u3002<\/p>\n<p>\u9019\u662f\u4e00\u6a23\u7a31\u4f5cPOET\uff08Paired Open-Ended Trailblazer\uff0c\u958b\u653e\u914d\u5c0d\u5148\u9a45\u8005\uff09\u7684\u8edf\u9ad4\uff0c\u88e1\u982d\u5176\u5be6\u5305\u542b\u5169\u5957AI\uff1a\u4e00\u7d44\u8ca0\u8cac\u7522\u751f\u8907\u96dc\u7684\u5730\u5f62\u74b0\u5883\uff0c\u53e6\u4e00\u7d44\u5247\u4e0d\u65b7\u5617\u8a66\u4e0d\u540c\u7684\u6b65\u884c\u7b56\u7565\u4f86\u653b\u514b\u524d\u8005\u7522\u751f\u7684\u5730\u5f62\u3002\u5728\u7121\u6578\u6b21\u5931\u6557\u7684\u5617\u8a66\u5f8c\uff0c\u8d70\u8def\u6a5f\u6f38\u6f38\u767c\u5c55\u51fa\u8907\u96dc\u53c8\u81ea\u6210\u4e00\u683c\u7684\u6b65\u4f10\uff0c\u904e\u7a0b\u4e2d\u5b8c\u5168\u4e0d\u9700\u8981\u4eba\u985e\u7684\u53c3\u8207\u3002<\/p>\n<p>POET\u8207\u6211\u5011\u5728\u65b0\u805e\u4e2d\u5e38\u807d\u898b\u6216\u770b\u898b\u7684AI\u4e0d\u540c\uff0c\u5b83\u4e0d\u80fd\u73a9\u570d\u68cb\u3001\u7121\u6cd5\u8fa8\u8b58\u91ab\u7642\u5f71\u50cf\u4e2d\u7684\u764c\u8b8a\u7d44\u7e54\u6216\u9810\u6e2c\u86cb\u767d\u8cea\u7684\u6298\u758a\u3002POET\u80fd\u505a\u7684\u4e8b\u770b\u4f3c\u6975\u5176\u6709\u9650\uff0c\u751a\u81f3\u53ef\u4ee5\u8aaa\u6beb\u7121\u7528\u8655\uff0c\u4f46Wang\u8207Clune\u5c0dPOET\u5176\u5be6\u6709\u66f4\u9ad8\u7684\u671f\u5f85\u3002<\/p>\n<p>AI\u5230\u4e86\u8fd1\u4ee3\uff0c\u4e3b\u8981\u4ee5\u4eba\u5de5\u795e\u7d93\u7db2\u8def\u70ba\u4e3b\uff0c\u7db2\u8def\u4e2d\u5c64\u5c64\u76f8\u9023\u7684\u7bc0\u9ede\u5efa\u69cb\u51fa\u8f38\u5165\u548c\u8f38\u51fa\u9593\u8907\u96dc\u7684\u6578\u5b78\u95dc\u4fc2\u3002\u8f38\u5165\u3001\u8f38\u51fa\u4e4b\u9593\u8981\u5305\u542b\u5e7e\u500b\u96b1\u85cf\u5c64\u624d\u6703\u6709\u6700\u597d\u7684\u6548\u679c\uff1f\u5982\u4f55\u8abf\u6574\u5404\u7bc0\u9ede\u7684\u53c3\u6578\uff1f\u9019\u985e\u67b6\u69cb\u8a2d\u8a08\u7684\u554f\u984c\uff0c\u540c\u6642\u4e5f\u662f\u4e00\u500b\u4eba\u5de5\u795e\u7d93\u7db2\u8def\u6210\u529f\u8207\u5426\u7684\u95dc\u9375\uff0c\u975e\u5e38\u4ef0\u8cf4\u7814\u7a76\u4eba\u54e1\u7684\u7d93\u9a57\u3002\u76f4\u52301980\u5e74\u5f8c\uff0c\u79d1\u5b78\u5bb6\u958b\u59cb\u6709\u4e86\u760b\u72c2\u7684\u60f3\u6cd5\uff1a\u900f\u904eAI\u96a8\u6a5f\u751f\u6210\u53e6\u4e00\u500b\u4eba\u5de5\u795e\u7d93\u7db2\u8def\u7684\u7d50\u69cb\uff0c\u4e26\u81ea\u52d5\u5316\u5730\u6e2c\u8a66\u8a72\u7d50\u69cb\u7684\u6548\u679c\u3002\u9019\u500b\u4f5c\u6cd5\uff0c\u7a31\u70baNAS\uff08Neural Architecture Search\uff0c\u795e\u7d93\u7db2\u7d61\u67b6\u69cb\u641c\u7d22\uff09\u3002<\/p>\n<p>2018\u5e74\u958b\u59cb\uff0cEsteban Real\u548cGoogle\u7684\u540c\u4e8b\u5229\u7528NAS\u6253\u9020\u51fa\u7684\u4e00\u7cfb\u5217\u5716\u50cf\u8fa8\u8b58\u6a21\u578b\uff0c\u8207\u7576\u6642\u6700\u9802\u5c16\u7684\u4eba\u985e\u8a2d\u8a08\u6a21\u578b\u76f8\u6bd4\u66f4\u5c0f\u3001\u66f4\u5feb\uff0c\u537b\u80fd\u7522\u751f\u66f4\u6e96\u78ba\u7684\u8fa8\u8b58\u7d50\u679c\u30022020\u5e74\uff0cReal\u518d\u4e00\u6b21\u8b49\u660e\u81ea\u52d5\u6a5f\u5668\u5b78\u7fd2\uff08Automated machine learning\uff0cAutoML\uff09\u7684\u6f5b\u529b\u2500\u2500\u65b0\u4e00\u4ee3\u7684AutoML Zero\u50c5\u900f\u904e\u5e7e\u500b\u6a5f\u5668\u5b78\u7fd2\u80cc\u5f8c\u7684\u57fa\u790e\u6578\u5b78\u6982\u5ff5\u3001\u516d\u884c\u7a0b\u5f0f\u78bc\uff0c\u5f9e\u982d\u69cb\u7bc9\u51fa\u8907\u96dc\u7684\u795e\u7d93\u7db2\u8def\u7d50\u69cb\uff0c\u751a\u81f3\u767c\u5c55\u51fa\u68af\u5ea6\u4e0b\u964d\u6cd5\uff08gradient descent\uff09\u9019\u9805\u6280\u80fd\u3002\u96d6\u7136\u76ee\u524d\u70ba\u6b62\u9084\u6c92\u6709\u4ee4\u4eba\u610f\u5916\u7684\u7a81\u7834\uff0c\u4f46\u4ee5AI\u8a2d\u8a08AI\u6216\u8a31\u662f\u66f4\u9ad8\u6548\u7684\u6a21\u578b\u8a2d\u8a08\u65b9\u6cd5\u3002<\/p>\n<p><span style=\"color: #008080;\"><strong>\u25cf\u4eba\u985e\u7684\u4fb7\u9650<\/strong><\/span><\/p>\n<figure id=\"attachment_36915\" aria-describedby=\"caption-attachment-36915\" style=\"width: 300px\" class=\"wp-caption alignright\"><img fetchpriority=\"high\" decoding=\"async\" class=\"wp-image-36915 size-medium\" src=\"http:\/\/case.ntu.edu.tw\/blog\/wp-content\/uploads\/2021\/08\/ai-hide-and-seek-300x168.jpg\" alt=\"\" width=\"300\" height=\"168\" srcset=\"https:\/\/case.ntu.edu.tw\/blog\/wp-content\/uploads\/2021\/08\/ai-hide-and-seek-300x168.jpg 300w, https:\/\/case.ntu.edu.tw\/blog\/wp-content\/uploads\/2021\/08\/ai-hide-and-seek.jpg 553w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><figcaption id=\"caption-attachment-36915\" class=\"wp-caption-text\">\uff08\u5716\u7247\u4f86\u6e90\uff1a Baker et al., 2019\uff09<\/figcaption><\/figure>\n<p>OpenAI\u66fe\u505a\u904e\u4e00\u9805\u6709\u8da3\u7684\u7814\u7a76\uff1a\u4ed6\u5011\u5728\u865b\u64ec\u74b0\u5883\u4e2d\uff0c\u8b93\u5169\u7d44AI\u4e00\u500b\u7576\u9b3c\uff0c\u4e00\u500b\u7576\u4eba\uff0c\u4e92\u73a9\u8eb2\u8c93\u8c93\u3002\u5169\u8005\u90fd\u53ef\u4ee5\u5229\u7528\u5730\u5f62\uff0c\u4ee5\u53ca\u79fb\u52d5\u5834\u5730\u4e2d\u7684\u969c\u7919\u7269\u6216\u659c\u5761\u4f86\u65b9\u4fbf\u81ea\u5df1\u8eb2\u85cf\u6216\u6349\u4eba\u3002\u6f38\u6f38\u5730\uff0c\u5169\u65b9\u5c55\u958b\u5982\u540c\u751f\u7269\u6f14\u5316\u4e0a\u7684\u8ecd\u5099\u7af6\u8cfd\uff0c\u5404\u6709\u5343\u79cb\uff0c\u4f46\u8ab0\u4e5f\u4e0d\u80fd\u9577\u671f\u58d3\u5236\u5c0d\u65b9\u3002<\/p>\n<p>\u6709\u5225\u65bc\u76e3\u7763\u5f0f\u5b78\u7fd2\uff08supervised learning\uff09\u548c\u975e\u76e3\u7763\u5f0f\u5b78\u7fd2\uff08unsupervised learning\uff09\u7b49\u6a5f\u5668\u5b78\u7fd2\u65b9\u6cd5\uff0cOpenAI\u900f\u904e\u985e\u4f3c\u904a\u6232\u7684\u5834\u666f\u5f15\u5c0eAI\u505a\u51fa\u7b26\u5408\u4eba\u985e\u671f\u671b\u7684\u884c\u70ba\uff0c\u9019\u7a2e\u65b9\u6cd5\u88ab\u7a31\u4f5c\u300c\u5f37\u5316\u5b78\u7fd2\u300d\uff08reinforcement learning\uff09\u3002\u5f37\u5316\u5b78\u7fd2\u7684\u9748\u611f\uff0c\u4f86\u81ea\u65bc\u884c\u70ba\u4e3b\u7fa9\u5fc3\u7406\u5b78\uff1a\u900f\u904e\u734e\u52f5\u548c\u8655\u7f70\uff08\u904a\u6232\u4e2d\u7684\u7a4d\u5206\uff09\uff0c\u5f37\u5316\u751f\u7269\u5c0d\u7279\u5b9a\u523a\u6fc0\u8207\u53cd\u61c9\u7684\u9023\u7d50\u3002<\/p>\n<p>\u5728\u904a\u6232\u4e2d\uff0c\u6642\u9593\u7684\u89c0\u5ff5\u88ab\u5c0e\u5165AI\u7684\u5b78\u7fd2\u4e2d\uff1a\u5728\u6642\u9593\u9edet1\u6642\uff0c\u6a21\u578b\u6839\u64da\u63a5\u6536\u5230\u7684\u89c0\u5bdf\u7d50\u679cO1\uff0c\u505a\u51fa\u884c\u52d5A1\u4e26\u5c0d\u74b0\u5883\u9020\u6210\u5f71\u97ff\uff1b\u5728\u4e0b\u4e00\u500b\u6642\u9593\u9edet2\uff0c\u6a21\u578b\u518d\u6839\u64daA1\u9020\u6210\u7684\u74b0\u5883\u5dee\u7570\uff08O2-O1\uff09\uff0c\u6c7a\u5b9a\u81ea\u5df1\u7684\u4e0b\u4e00\u6b65\u3002\u9019\u500b\u6d41\u7a0b\u8b93\u6a21\u578b\u61c2\u5f97\u300c\u56de\u9867\u300d\u81ea\u5df1\u7684\u884c\u52d5\uff0c\u4e26\u80fd\u9032\u884c\u9577\u6642\u9593\u7684\u63a8\u7406\u3002<\/p>\n<figure id=\"attachment_36916\" aria-describedby=\"caption-attachment-36916\" style=\"width: 252px\" class=\"wp-caption alignleft\"><img decoding=\"async\" class=\"wp-image-36916 size-medium\" src=\"http:\/\/case.ntu.edu.tw\/blog\/wp-content\/uploads\/2021\/08\/two-robot-arms-252x300.png\" alt=\"\" width=\"252\" height=\"300\" srcset=\"https:\/\/case.ntu.edu.tw\/blog\/wp-content\/uploads\/2021\/08\/two-robot-arms-252x300.png 252w, https:\/\/case.ntu.edu.tw\/blog\/wp-content\/uploads\/2021\/08\/two-robot-arms.png 458w\" sizes=\"(max-width: 252px) 100vw, 252px\" \/><figcaption id=\"caption-attachment-36916\" class=\"wp-caption-text\">\uff08\u5716\u7247\u4f86\u6e90\uff1aPlappert et al., 2021.\uff09<\/figcaption><\/figure>\n<p>\u4f46\u96a8\u8457\u6642\u9593\u8207\u904a\u6232\u6b21\u6578\u7684\u589e\u52a0\uff0c\u5169\u7d44AI\u90fd\u767c\u5c55\u51fa\u9a5a\u4eba\u7684\u884c\u70ba\u3002\u5b83\u5011\u5b78\u6703\u5982\u4f55\u6284\u6377\u5f91\uff0c\u5229\u7528\u6a21\u64ec\u7a7a\u9593\u7684\u8a2d\u8a08\u7455\u75b5\u4f86\u66f4\u65b9\u4fbf\u3001\u5feb\u901f\u5730\u8d0f\u5f97\u904a\u6232\uff0c\u4f8b\u5982\uff1a\u4eba\u5728\u9b3c\u53ef\u4ee5\u52d5\u4f5c\u4e4b\u524d\u5c07\u659c\u5761\u64e0\u51fa\u5834\u5916\uff0c\u4f7f\u9b3c\u7121\u6cd5\u5229\u7528\u659c\u5761\u9032\u5165\u5c0f\u623f\u9593\uff1b\u9b3c\u767c\u73fe\u81ea\u5df1\u53ef\u4ee5\u7ad9\u5728\u7bb1\u5b50\u4e0a\u79fb\u52d5\uff0c\u4ee5\u300c\u885d\u6d6a\u300d\u7684\u65b9\u5f0f\u9032\u5165\u4eba\u6240\u8eb2\u85cf\u7684\u5c0f\u623f\u9593\u3002<\/p>\n<p>\u9019\u6a23\u7684\u7d50\u679c\u53ef\u4ee5\u6709\u6a02\u89c0\u8207\u60b2\u89c0\u5169\u7a2e\u8a6e\u91cb\u3002\u6b63\u9762\u4f86\u8aaa\uff0cAI\u9ede\u51fa\u4e86\u4eba\u985e\u5728\u601d\u60f3\u4e0a\u7684\u4fb7\u9650\uff0c\u63d0\u9192\u6211\u5011\u61c9\u8a72\u8df3\u51fa\u6846\u67b6\u601d\u8003\uff1b\u4f46\u53cd\u904e\u4f86\u8aaa\uff0c\u5f9e\u4eba\u985e\u51fa\u767c\u7684\u8996\u89d2\u8207\u4e16\u754c\u89c0\uff0c\u6216\u8a31\u6b63\u662fAI\u767c\u5c55\u7684\u6700\u5927\u9650\u5236\u3002\u4ee5\u524d\u8ff0\u7684POET\u70ba\u4f8b\uff0c\u8d70\u8def\u6a5f\u4e00\u8def\u4e0a\u9047\u5230\u7684\u6728\u68cd\u3001\u5761\u9053\u548c\u6e9d\u6e20\uff0c\u96d6\u7136\u6709\u7121\u9650\u591a\u7a2e\u7d44\u5408\uff0c\u4f46\u7d42\u7a76\u662f\u300c\u4eba\u985e\u300d\u8a2d\u4e0b\u7684\u6311\u6230\u3002\u8d70\u8def\u6a5f\u7684\u6f5b\u529b\uff0c\u6216\u8a31\u6b63\u88ab\u6211\u5011\u7684\u8a8d\u77e5\u6240\u7b9d\u5236\u3002\u9664\u4e86\u8b93AI\u81ea\u884c\u627e\u5230\u53ef\u884c\u6216\u6700\u4f73\u7684\u884c\u70ba\u7b56\u7565\uff0c\u8981\u771f\u6b63\u505a\u5230\u300c\u4ee5AI\u5275\u9020AI\u300d\uff0c\u66f4\u91cd\u8981\u7684\u662f\u8b93AI\u6210\u70ba\u53e6\u4e00\u500bAI\u7684\u8001\u5e2b\u3002<\/p>\n<p>OpenAI \u53e6\u4e00\u9805\u7814\u7a76\u4e2d\u7684\u5169\u96bb\u6a5f\u68b0\u624b\u81c2\u6216\u8a31\u662f\u7d55\u4f73\u6848\u4f8b\uff1a\u5728\u865b\u64ec\u7a7a\u9593\u4e2d\u7684\u5169\u96bb\u6a5f\u68b0\u81c2\uff0c\u4e00\u96bb\u8ca0\u8cac\u5c07\u684c\u4e0a\u7684\u7a4d\u6728\u6392\u5217\u6210\u8907\u96dc\u7684\u5f62\u72c0\uff0c\u53e6\u4e00\u96bb\u5247\u81f4\u529b\u5c07\u7a4d\u6728\u4f9d\u5e8f\u5217\u6392\u597d\u3002\u53cd\u8986\u8a13\u7df4\u4e4b\u5f8c\uff0c\u5373\u4f7f\u5c07\u7a4d\u6728\u63db\u6210\u897f\u6d0b\u68cb\u3001\u76e4\u5b50\u6216\u5176\u4ed6\u7269\u4ef6\uff0c\u5f8c\u8005\u90fd\u4e0d\u9700\u8981\u53e6\u5916\u91cd\u65b0\u8a13\u7df4\uff0c\u800c\u80fd\u6cbf\u7528\u5148\u524d\u7684\u7d93\u9a57\u4f86\u61c9\u5c0d\u65b0\u74b0\u5883\u3002<\/p>\n<p><strong><span style=\"color: #008080;\">\u25cf\u958b\u653e\u5b78\u7fd2\uff0c\u958b\u653e\u672a\u4f86<\/span><\/strong><\/p>\n<p>Clune\u6df1\u6df1\u660e\u767d\uff0c\u8ddd\u96e2\u771f\u6b63\u7684AI\u81ea\u6211\u8a2d\u8a08\u6f14\u7b97\u6cd5\uff08AI-generating algorithms\uff0cAI-GAs\uff09\u9084\u6709\u4e00\u6bb5\u8def\u8981\u8d70\uff0c\u4f46POET\u5df2\u7d93\u9081\u51fa\u8271\u96e3\u5730\u7b2c\u4e00\u6b65\u3002\u5728\u8a13\u7df4POET\u7684\u904e\u7a0b\u4e2d\uff0c\u96a8\u6a5f\u8f49\u63db\u74b0\u5883\u662f\u975e\u5e38\u95dc\u9375\u7684\u3002\u8d70\u8def\u6a5f\u7121\u8ad6\u662f\u5361\u4f4f\u6216\u530d\u5310\u524d\u9032\uff0c\u4e0d\u65b7\u5730\u7d66\u4e88\u96e3\u6613\u4e0d\u4e00\u3001\u610f\u60f3\u4e0d\u5230\u7684\u65b0\u74b0\u5883\uff0c\u6709\u52a9\u65bc\u6a21\u578b\u5728\u5f37\u5316\u65e2\u6709\u6280\u80fd\u548c\u767c\u5c55\u65b0\u6280\u80fd\u4e2d\u53d6\u5f97\u5e73\u8861\u3002<\/p>\n<p>\u7136\u800c\u653e\u624b\u8b93AI\u8a2d\u8a08AI\uff0c\u4e5f\u540c\u6642\u610f\u5473\u8457\u6211\u5011\u7121\u6cd5\u63a7\u5236AI\u7684\u884c\u70ba\uff0c\u4e5f\u7121\u5f9e\u9810\u6e2cAI\u7684\u8868\u73fe\u3002\u81ea\u5b78\u7522\u751f\u7684AI\uff0c\u6216\u8a31\u6703\u6bd4\u73fe\u5728\u7684\u300c\u9ed1\u76d2\u5b50\u300d\u66f4\u96e3\u70ba\u4eba\u985e\u7406\u89e3\uff0c\u5c46\u6642\u8981\u4eba\u70ba\u6821\u6b63\u5e7e\u4e4e\u662f\u4e0d\u53ef\u80fd\u7684\uff01\u4eba\u985e\u5fc5\u9808\u91cd\u65b0\u601d\u8003AI\u7684\u61c9\u7528\u8207\u7814\u7a76\u502b\u7406\uff0c\u4e26\u8207\u6a21\u578b\u7684\u8a2d\u8a08\u6548\u7387\u53d6\u5f97\u5e73\u8861\u3002\u4f46\u9019\u53ea\u662f\u958b\u59cb\uff0cClune\u5f37\u8abf\uff0c\u6b63\u8996AI\u81ea\u6211\u5b78\u7fd2\u7684\u6f5b\u529b\uff0c\u8b93\u66f4\u591a\u4eba\u52a0\u5165\u8a0e\u8ad6\uff0c\u624d\u662f\u4ed6\u73fe\u968e\u6bb5\u7684\u76ee\u6a19\u3002<\/p>\n<p>&nbsp;<\/p>\n<p><strong>\u7de8\u8b6f\u4f86\u6e90<\/strong><\/p>\n<ul>\n<li>Heaven, W. (2021).\u00a0<em><a href=\"https:\/\/www.technologyreview.com\/2021\/05\/27\/1025453\/artificial-intelligence-learning-create-itself-agi\/\">AI is learning how to create itself<\/a><\/em>. MIT Technology Review.<\/li>\n<\/ul>\n<p><strong>\u53c3\u8003\u8cc7\u6599<\/strong><\/p>\n<ol>\n<li>Baker, B., Kanitscheider, I., Markov, T., Wu, Y., Powell, G., McGrew, B., &amp; Mordatch, I. (2019). <em><a href=\"https:\/\/arxiv.org\/abs\/1909.07528\">Emergent Tool Use From Multi-Agent Autocurricula<\/a><\/em>. arXiv.org.<\/li>\n<li>Clune, J. (2021).\u00a0<em><a href=\"https:\/\/arxiv.org\/abs\/1905.10985\">AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence<\/a><\/em>. arXiv.org.<\/li>\n<li>Plappert, M., Sampedro, R., Xu, T., Akkaya, I., Kosaraju, V., &amp; Welinder, P. et al. (2021). <em><a href=\"https:\/\/arxiv.org\/abs\/2101.04882\">Asymmetric self-play for automatic goal discovery in robotic manipulation<\/a><\/em>. arXiv.org.<\/li>\n<li>Someda, T. (2018). <em><a href=\"https:\/\/hacarus.com\/information\/tech\/using-sparse-modeling-in-ai-a-human-centric-explainable-approach\/\">Using Sparse Modeling in AI: A Human Centric, Explainable Approach<\/a><\/em>. HACARUS INC.<\/li>\n<li>Wang, R. (2021). <em><a href=\"https:\/\/eng.uber.com\/poet-open-ended-deep-learning\/\">POET: Endlessly Generating Increasingly Complex and Diverse Learning Environments and their Solutions through the Paired Open-Ended Trailblazer<\/a><\/em>. Uber Engineering Blog.<\/li>\n<\/ol>\n<p style=\"text-align: center;\"><span style=\"color: #999999;\">(\u672c\u6587\u7531\u6559\u80b2\u90e8\u88dc\u52a9\u300cAI\u5831\u5831\u2500AI\u79d1\u666e\u63a8\u5ee3\u8a08\u756b\u300d\u57f7\u884c\u5718\u968a\u7de8\u8b6f)<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>OpenAI\u8a2d\u8a08\u4e86\u4e00\u7cfb\u5217\u770b\u4f3c\u6c92\u6709\u5546\u696d\u5229\u7528\u50f9\u503c\u7684AI\u3002\u7136\u800c\u5b83\u5011\u662f\u771f\u7684\u6beb\u7121\u662f\u8655\uff1f\u9084\u662f\u6211\u5011\u770b\u4e0d\u898b\u5b83\u5011\u7684\u50f9\u503c\uff1f<\/p>\n","protected":false},"author":24,"featured_media":36942,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3772,3293,4988],"tags":[4998,4997,4989,4999],"aioseo_notices":[],"jetpack_featured_media_url":"https:\/\/case.ntu.edu.tw\/blog\/wp-content\/uploads\/2021\/08\/teaching-children.png","_links":{"self":[{"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=\/wp\/v2\/posts\/36914"}],"collection":[{"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=\/wp\/v2\/users\/24"}],"replies":[{"embeddable":true,"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=36914"}],"version-history":[{"count":18,"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=\/wp\/v2\/posts\/36914\/revisions"}],"predecessor-version":[{"id":37021,"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=\/wp\/v2\/posts\/36914\/revisions\/37021"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=\/wp\/v2\/media\/36942"}],"wp:attachment":[{"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=36914"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=36914"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=36914"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}