<\/a>DeepSeek-R1-Zero \u7684\u81ea\u6211\u4fee\u6b63\u80fd\u529b\u4e3b\u8981\u4f9d\u8cf4\u65bc\u5f37\u5316\u5b78\u7fd2\u7684\u6838\u5fc3\u539f\u7406\uff0c\u5373\u901a\u904e\u8207\u74b0\u5883\u7684\u4ea4\u4e92\u7372\u53d6\u53cd\u994b\u4fe1\u865f\uff08\u734e\u52f5\u6216\u61f2\u7f70\uff09\uff0c\u4e26\u6839\u64da\u9019\u4e9b\u4fe1\u865f\u4e0d\u65b7\u8abf\u6574\u5176\u884c\u70ba\u7b56\u7565\u3002\u4ee5\u4e0b\u662f\u5177\u9ad4\u5be6\u73fe\u7d30\u7bc0\uff1a<\/p>\n\n\n\n\u53cd\u994b\u6a5f\u5236\u8a2d\u8a08<\/p>\n\n\n\n
\u5728\u8a13\u7df4\u904e\u7a0b\u4e2d\uff0c\u6a21\u578b\u6703\u6839\u64da\u5176\u751f\u6210\u7684\u63a8\u7406\u6b65\u9a5f\u7372\u5f97\u734e\u52f5\u4fe1\u865f\u3002\u4f8b\u5982\uff0c\u7576\u6a21\u578b\u751f\u6210\u7684\u63a8\u7406\u6b65\u9a5f\u908f\u8f2f\u6e05\u6670\u4e14\u6700\u7d42\u7b54\u6848\u6b63\u78ba\u6642\uff0c\u6703\u7372\u5f97\u6b63\u5411\u734e\u52f5\uff1b\u53cd\u4e4b\uff0c\u82e5\u63a8\u7406\u904e\u7a0b\u4e2d\u51fa\u73fe\u932f\u8aa4\u6216\u4e0d\u4e00\u81f4\uff0c\u5247\u6703\u53d7\u5230\u61f2\u7f70\u3002\u9019\u7a2e\u57fa\u65bc\u904e\u7a0b\u7684\u734e\u52f5\u8a2d\u8a08\uff08\u800c\u975e\u50c5\u91dd\u5c0d\u6700\u7d42\u7b54\u6848\uff09\u4fc3\u4f7f\u6a21\u578b\u5b78\u6703\u6aa2\u67e5\u548c\u4fee\u6b63\u4e2d\u9593\u6b65\u9a5f\u3002<\/p>\n\n\n\n
\u81ea\u6211\u9a57\u8b49\u8207\u8fed\u4ee3\u4fee\u6b63<\/p>\n\n\n\n
DeepSeek-R1-Zero \u5728\u63a8\u7406\u904e\u7a0b\u4e2d\u6703\u751f\u6210\u4e00\u500b\u5b8c\u6574\u7684\u601d\u7dad\u93c8\uff08Chain of Thought, CoT\uff09\uff0c\u4e26\u5c0d\u6bcf\u4e00\u6b65\u9032\u884c\u81ea\u6211\u9a57\u8b49\u3002\u5982\u679c\u767c\u73fe\u67d0\u4e00\u6b65\u7684\u908f\u8f2f\u6216\u8a08\u7b97\u7d50\u679c\u4e0d\u5408\u7406\uff0c\u6a21\u578b\u6703\u56de\u6eaf\u5230\u8a72\u6b65\u9a5f\uff0c\u91cd\u65b0\u751f\u6210\u6216\u8abf\u6574\u8a72\u90e8\u5206\u7684\u8f38\u51fa\u3002\u4f8b\u5982\uff0c\u5728\u6578\u5b78\u63a8\u7406\u4e2d\uff0c\u6a21\u578b\u6703\u6aa2\u67e5\u6bcf\u4e00\u6b65\u8a08\u7b97\u662f\u5426\u6b63\u78ba\uff0c\u82e5\u767c\u73fe\u932f\u8aa4\u5247\u91cd\u65b0\u8a08\u7b97\uff0c\u76f4\u5230\u751f\u6210\u6b63\u78ba\u7684\u7b54\u6848\u3002<\/p>\n\n\n\n
\u591a\u968e\u6bb5\u5f37\u5316\u5b78\u7fd2\u8a13\u7df4<\/p>\n\n\n\n
DeepSeek-R1-Zero \u7684\u8a13\u7df4\u904e\u7a0b\u5206\u70ba\u591a\u500b\u968e\u6bb5\uff0c\u7279\u5225\u662f\u5728\u5f37\u5316\u5b78\u7fd2\u968e\u6bb5\uff0c\u6a21\u578b\u6703\u901a\u904e\u5927\u91cf\u8a66\u932f\u5b78\u7fd2\u5982\u4f55\u6aa2\u67e5\u548c\u4fee\u6b63\u81ea\u5df1\u7684\u8f38\u51fa\u3002\u9019\u7a2e\u8a66\u932f\u904e\u7a0b\u4e0d\u50c5\u63d0\u5347\u4e86\u6a21\u578b\u7684\u63a8\u7406\u80fd\u529b\uff0c\u4e5f\u8b93\u5176\u5177\u5099\u4e86\u5728\u672a\u77e5\u60c5\u5883\u4e0b\u9032\u884c\u81ea\u6211\u4fee\u6b63\u7684\u80fd\u529b\u3002<\/p>\n\n\n\n
2. \u6280\u8853\u5be6\u73fe\u7684\u6838\u5fc3\u8981\u7d20<\/p>\n\n\n\n
\u52d5\u614b\u7b56\u7565\u8abf\u6574<\/p>\n\n\n\n
DeepSeek-R1-Zero \u4f7f\u7528\u4e86\u985e\u4f3c\u65bc\u7b56\u7565\u512a\u5316\uff08Policy Optimization\uff09\u7684\u5f37\u5316\u5b78\u7fd2\u7b97\u6cd5\uff0c\u5982 PPO\uff08Proximal Policy Optimization\uff09\u6216 GRPO\uff08Group Relative Policy Optimization\uff09\uff0c\u4f86\u52d5\u614b\u8abf\u6574\u5176\u63a8\u7406\u7b56\u7565\u3002\u9019\u4e9b\u7b97\u6cd5\u5141\u8a31\u6a21\u578b\u5728\u751f\u6210\u6bcf\u4e00\u6b65\u63a8\u7406\u6642\u6839\u64da\u7576\u524d\u72c0\u614b\u548c\u53cd\u994b\u4fe1\u865f\u9032\u884c\u8abf\u6574\uff0c\u5f9e\u800c\u5be6\u73fe\u81ea\u6211\u4fee\u6b63\u3002<\/p>\n\n\n\n
\u7d93\u9a57\u56de\u653e\uff08Experience Replay\uff09<\/p>\n\n\n\n
\u6a21\u578b\u6703\u5c07\u904e\u53bb\u7684\u63a8\u7406\u7d93\u9a57\u5b58\u5132\u8d77\u4f86\uff0c\u4e26\u5728\u8a13\u7df4\u904e\u7a0b\u4e2d\u96a8\u6a5f\u62bd\u53d6\u9019\u4e9b\u7d93\u9a57\u9032\u884c\u518d\u5b78\u7fd2\u3002\u9019\u7a2e\u65b9\u6cd5\u4e0d\u50c5\u589e\u52a0\u4e86\u8a13\u7df4\u6578\u64da\u7684\u591a\u6a23\u6027\uff0c\u9084\u5e6b\u52a9\u6a21\u578b\u66f4\u597d\u5730\u7e3d\u7d50\u904e\u53bb\u7684\u932f\u8aa4\uff0c\u5f9e\u800c\u63d0\u5347\u5176\u81ea\u6211\u4fee\u6b63\u80fd\u529b\u3002<\/p>\n\n\n\n
\u591a\u7dad\u5ea6\u734e\u52f5\u8a2d\u8a08<\/p>\n\n\n\n
\u70ba\u4e86\u4fc3\u9032\u6a21\u578b\u5b78\u7fd2\u81ea\u6211\u4fee\u6b63\uff0cDeepSeek-R1-Zero \u7684\u734e\u52f5\u51fd\u6578\u4e0d\u50c5\u8003\u616e\u6700\u7d42\u7b54\u6848\u7684\u6b63\u78ba\u6027\uff0c\u9084\u5305\u62ec\u5c0d\u63a8\u7406\u904e\u7a0b\u7684\u8a55\u4f30\u3002\u4f8b\u5982\uff0c\u6a21\u578b\u751f\u6210\u7684\u63a8\u7406\u6b65\u9a5f\u662f\u5426\u908f\u8f2f\u6e05\u6670\u3001\u662f\u5426\u7b26\u5408\u4e0a\u4e0b\u6587\u8a9e\u5883\u7b49\u90fd\u6703\u5f71\u97ff\u5176\u734e\u52f5\u503c\u3002\u9019\u7a2e\u591a\u7dad\u5ea6\u7684\u734e\u52f5\u8a2d\u8a08\u8b93\u6a21\u578b\u80fd\u5920\u66f4\u5168\u9762\u5730\u8a55\u4f30\u81ea\u5df1\u7684\u8f38\u51fa\uff0c\u4e26\u9032\u884c\u5fc5\u8981\u7684\u4fee\u6b63\u3002<\/p>\n\n\n\n
3. \u5be6\u969b\u61c9\u7528\u4e2d\u7684\u8868\u73fe<\/p>\n\n\n\n
\u6578\u5b78\u63a8\u7406<\/p>\n\n\n\n
\u5728\u6578\u5b78\u554f\u984c\u4e2d\uff0cDeepSeek-R1-Zero \u80fd\u5920\u9010\u6b65\u6aa2\u67e5\u6bcf\u4e00\u6b65\u8a08\u7b97\uff0c\u4e26\u5728\u767c\u73fe\u932f\u8aa4\u6642\u91cd\u65b0\u8a08\u7b97\u3002\u4f8b\u5982\uff0c\u5728 AIME \u6e2c\u8a66\u4e2d\uff0c\u6a21\u578b\u901a\u904e\u591a\u6b21\u81ea\u6211\u4fee\u6b63\u5c07\u6b63\u78ba\u7387\u5f9e\u521d\u59cb\u7684 15.6% \u63d0\u5347\u81f3 71.0%\uff0c\u4e26\u6700\u7d42\u901a\u904e\u591a\u6578\u6295\u7968\u9054\u5230 86.7% \u7684\u6b63\u78ba\u7387\u3002<\/p>\n\n\n\n
\u908f\u8f2f\u63a8\u7406\u8207\u81ea\u7136\u8a9e\u8a00\u8655\u7406<\/p>\n\n\n\n
\u5728\u908f\u8f2f\u63a8\u7406\u548c\u81ea\u7136\u8a9e\u8a00\u8655\u7406\u4efb\u52d9\u4e2d\uff0c\u6a21\u578b\u80fd\u5920\u6aa2\u67e5\u751f\u6210\u7684\u63a8\u7406\u93c8\u662f\u5426\u7b26\u5408\u908f\u8f2f\uff0c\u4e26\u5728\u5fc5\u8981\u6642\u91cd\u65b0\u751f\u6210\u90e8\u5206\u5167\u5bb9\u3002\u4f8b\u5982\uff0c\u5728\u56de\u7b54\u8907\u96dc\u554f\u984c\u6642\uff0c\u6a21\u578b\u6703\u5148\u751f\u6210\u4e00\u500b\u521d\u6b65\u7b54\u6848\uff0c\u7136\u5f8c\u6aa2\u67e5\u5176\u5408\u7406\u6027\uff0c\u82e5\u767c\u73fe\u4e0d\u4e00\u81f4\u5247\u9032\u884c\u4fee\u6b63\uff0c\u76f4\u5230\u751f\u6210\u7b26\u5408\u908f\u8f2f\u7684\u6700\u7d42\u7b54\u6848\u3002<\/p>\n\n\n\n
4. \u6311\u6230\u8207\u6539\u9032\u65b9\u5411<\/p>\n\n\n\n
\u5118\u7ba1 DeepSeek-R1-Zero \u7684\u81ea\u6211\u4fee\u6b63\u80fd\u529b\u5df2\u7d93\u5c55\u73fe\u51fa\u986f\u8457\u7684\u6548\u679c\uff0c\u4f46\u4ecd\u5b58\u5728\u4e00\u4e9b\u6311\u6230\uff1a<\/p>\n\n\n\n
\u63a8\u7406\u904e\u7a0b\u7684\u53ef\u8b80\u6027\uff1a\u6a21\u578b\u751f\u6210\u7684\u63a8\u7406\u6b65\u9a5f\u53ef\u80fd\u904e\u65bc\u5197\u9577\uff0c\u5f71\u97ff\u7528\u6236\u7684\u7406\u89e3\u3002<\/p>\n\n\n\n
\u8a9e\u8a00\u6df7\u6dc6\u554f\u984c\uff1a\u5728\u591a\u8a9e\u8a00\u74b0\u5883\u4e2d\uff0c\u6a21\u578b\u53ef\u80fd\u6703\u6df7\u7528\u4e0d\u540c\u8a9e\u8a00\uff0c\u5c0e\u81f4\u8868\u9054\u4e0d\u4e00\u81f4\u3002<\/p>\n\n\n\n
\u70ba\u4e86\u89e3\u6c7a\u9019\u4e9b\u554f\u984c\uff0c\u5f8c\u7e8c\u7248\u672c DeepSeek-R1 \u5f15\u5165\u4e86\u51b7\u555f\u52d5\u6578\u64da\u548c\u591a\u968e\u6bb5\u8a13\u7df4\u6d41\u7a0b\uff0c\u9032\u4e00\u6b65\u63d0\u5347\u4e86\u6a21\u578b\u7684\u63a8\u7406\u6027\u80fd\u8207\u8868\u9054\u80fd\u529b\u3002<\/p>\n\n\n\n
\u7e3d\u7d50\u4f86\u8aaa\uff0cDeepSeek-R1-Zero \u7684\u81ea\u6211\u4fee\u6b63\u80fd\u529b\u662f\u5176\u57fa\u65bc\u5f37\u5316\u5b78\u7fd2\u8a13\u7df4\u904e\u7a0b\u4e2d\u81ea\u7136\u6e67\u73fe\u7684\u7d50\u679c\uff0c\u901a\u904e\u52d5\u614b\u7b56\u7565\u8abf\u6574\u3001\u7d93\u9a57\u56de\u653e\u548c\u591a\u7dad\u5ea6\u734e\u52f5\u8a2d\u8a08\u7b49\u6280\u8853\u5be6\u73fe\u3002\u9019\u7a2e\u80fd\u529b\u4e0d\u50c5\u63d0\u5347\u4e86\u6a21\u578b\u7684\u63a8\u7406\u6e96\u78ba\u6027\uff0c\u4e5f\u70ba\u672a\u4f86 AI \u6a21\u578b\u7684\u81ea\u4e3b\u5b78\u7fd2\u8207\u63a8\u7406\u80fd\u529b\u63d0\u4f9b\u4e86\u91cd\u8981\u7684\u6280\u8853\u53c3\u8003<\/p>\n","protected":false},"excerpt":{"rendered":"
DeepSeek-R1-Zero \u7684\u81ea\u6211\u4fee\u6b63\u80fd\u529b\u662f\u5176\u57fa\u65bc\u7d14\u5f37\u5316\u5b78\u7fd2\uff08Reinforcement Learnin […]<\/p>\n","protected":false},"author":3,"featured_media":527,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"nf_dc_page":"","iawp_total_views":1,"footnotes":""},"categories":[56,27],"tags":[34,116,117,31,118,74],"class_list":["post-561","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-56","category-llm","tag-ai","tag-deepseek","tag-reinforcement-learning","tag-31","tag-118","tag-74"],"_links":{"self":[{"href":"https:\/\/pinglex.ai\/index.php?rest_route=\/wp\/v2\/posts\/561","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pinglex.ai\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/pinglex.ai\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/pinglex.ai\/index.php?rest_route=\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/pinglex.ai\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=561"}],"version-history":[{"count":1,"href":"https:\/\/pinglex.ai\/index.php?rest_route=\/wp\/v2\/posts\/561\/revisions"}],"predecessor-version":[{"id":562,"href":"https:\/\/pinglex.ai\/index.php?rest_route=\/wp\/v2\/posts\/561\/revisions\/562"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/pinglex.ai\/index.php?rest_route=\/wp\/v2\/media\/527"}],"wp:attachment":[{"href":"https:\/\/pinglex.ai\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=561"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/pinglex.ai\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=561"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/pinglex.ai\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=561"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}